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    <title>The Annals of Applied Statistics (Project Euclid)</title>
    <link>http://projecteuclid.org/euclid.aoas</link>
    <description>The latest updates from The Annals of Applied Statistics on Project Euclid, a site for mathematics and statistics resources.</description>
    <language>en-us</language>
    <copyright>Copyright 2008 Cornell University Library</copyright>
    <webMaster>Euclid-L@cornell.edu (Project Euclid Team)</webMaster>
    <pubDate>Mon, 23 Jun 2008 11:28 EDT</pubDate>
    <lastBuildDate>Tue, 09 Apr 2013 13:07 EDT</lastBuildDate>
    <image>
      <url>http://projecteuclid.org/collection/euclid/images/logo_linking_100.gif</url>
      <title>Project Euclid</title>
      <link>http://projecteuclid.org/</link>
    </image>
    <item>
      <title>The Annals of Applied Statistics, Volume 2, Number 1 (2008)</title>
      <link>http://projecteuclid.org/euclid.aoas/1206367801</link>
      <description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stephen E. Fienberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367804"&gt;Editorial: Statistics and “The lost tomb of Jesus”&lt;/a&gt;. 1--2.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrey Feuerverger&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367805"&gt;Statistical analysis of an archeological find&lt;/a&gt;. 3--54.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stephen M. Stigler&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367806"&gt;Discussion of: Statistical analysis of an archeological find&lt;/a&gt;. 55--56.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Camil Fuchs&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367807"&gt;Discussion of: Statistical analysis of an archeological find&lt;/a&gt;. 57--65.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Donald L. Bentley&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367808"&gt;Discussion of: Statistical analysis of an archaeological find&lt;/a&gt;. 66--73.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sheila M. Bird&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367809"&gt;Discussion of: Statistical analysis of an archeological find—skeptical counting challenges to an archaeological find&lt;/a&gt;. 74--76.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Holger Höfling&lt;/strong&gt;, &lt;strong&gt;Larry Wasserman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367810"&gt;Discussion of: Statistical analysis of an archeological find&lt;/a&gt;. 77--83.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Randall Ingermanson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367811"&gt;Discussion of: Statistical analysis of an archaeological find&lt;/a&gt;. 84--90.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;J. Mortera&lt;/strong&gt;, &lt;strong&gt;P. Vicard&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367812"&gt;Discussion of: Statistical analysis of an archeological find&lt;/a&gt;. 91--96.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Joseph B. Kadane&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367813"&gt;Discussion of: Bayesian views of an archaeological find&lt;/a&gt;. 97--98.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrey Feuerverger&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367814"&gt;Rejoinder of: Statistical analysis of an archeological find&lt;/a&gt;. 99--112.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lawrence D. Brown&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367815"&gt;In-season prediction of batting averages: A field test of empirical Bayes and Bayes methodologies&lt;/a&gt;. 113--152.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Armin Schwartzman&lt;/strong&gt;, &lt;strong&gt;Robert F. Dougherty&lt;/strong&gt;, &lt;strong&gt;Jonathan E. Taylor&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367816"&gt;False discovery rate analysis of brain diffusion direction maps&lt;/a&gt;. 153--175.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David A. Freedman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367817"&gt;On regression adjustments in experiments with several treatments&lt;/a&gt;. 176--196.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bradley Efron&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367818"&gt;Simultaneous inference: When should hypothesis testing problems be combined?&lt;/a&gt;. 197--223.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tong Tong Wu&lt;/strong&gt;, &lt;strong&gt;Kenneth Lange&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367819"&gt;Coordinate descent algorithms for lasso penalized regression&lt;/a&gt;. 224--244.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Elizaveta Levina&lt;/strong&gt;, &lt;strong&gt;Adam Rothman&lt;/strong&gt;, &lt;strong&gt;Ji Zhu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367820"&gt;Sparse estimation of large covariance matrices via a nested Lasso penalty&lt;/a&gt;. 245--263.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Charles F. Manski&lt;/strong&gt;, &lt;strong&gt;Francesca Molinari&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367821"&gt;Skip sequencing: A decision problem in questionnaire design&lt;/a&gt;. 264--285.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;William T. Barry&lt;/strong&gt;, &lt;strong&gt;Andrew B. Nobel&lt;/strong&gt;, &lt;strong&gt;Fred A. Wright&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367822"&gt;A statistical framework for testing functional categories in microarray data&lt;/a&gt;. 286--315.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Maarten J. L. F. Cruyff&lt;/strong&gt;, &lt;strong&gt;Ulf Böckenholt&lt;/strong&gt;, &lt;strong&gt;Ardo van den Hout&lt;/strong&gt;, &lt;strong&gt;Peter G. M. van der Heijden&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367823"&gt;Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model&lt;/a&gt;. 316--331.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nancy R. Zhang&lt;/strong&gt;, &lt;strong&gt;Mary C. Wildermuth&lt;/strong&gt;, &lt;strong&gt;Terence P. Speed&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367824"&gt;Transcription factor binding site prediction with multivariate gene expression data&lt;/a&gt;. 332--365.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tathagata Banerjee&lt;/strong&gt;, &lt;strong&gt;Rahul Mukerjee&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367825"&gt;Optimal factorial designs for cDNA microarray experiments&lt;/a&gt;. 366--385.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Li Qin&lt;/strong&gt;, &lt;strong&gt;Peter B. Gilbert&lt;/strong&gt;, &lt;strong&gt;Dean Follmann&lt;/strong&gt;, &lt;strong&gt;Dongfeng Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367826"&gt;Assessing surrogate endpoints in vaccine trials with case-cohort sampling and the Cox model&lt;/a&gt;. 386--407.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Zhi Wei&lt;/strong&gt;, &lt;strong&gt;Hongzhe Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367827"&gt;A hidden spatial-temporal Markov random field model for network-based analysis of time course gene expression data&lt;/a&gt;. 408--429.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;John E. Fiorentino&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367828"&gt;Letter to the Editor&lt;/a&gt;. 430--431.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Clifford Spiegelman&lt;/strong&gt;, &lt;strong&gt;S. J. Sheather&lt;/strong&gt;, &lt;strong&gt;W. A. Tobin&lt;/strong&gt;, &lt;strong&gt;W. D. James&lt;/strong&gt;, &lt;strong&gt;S. Wexler&lt;/strong&gt;, &lt;strong&gt;D. M. Roundhill&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1206367829"&gt;Response to the Letter to the Editor&lt;/a&gt;. 432--433.&lt;/p&gt;</description>
      <guid>http://projecteuclid.org/euclid.aoas/1206367801</guid>
      <pubDate>Mon, 23 Jun 2008 11:28 EDT</pubDate>
    </item>
  <item><title>The Annals of Applied Statistics, Volume 2, Number 2 (2008)</title><link>http://projecteuclid.org/euclid.aoas/1215118515</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ann B. Lee&lt;/strong&gt;, &lt;strong&gt;Boaz Nadler&lt;/strong&gt;, &lt;strong&gt;Larry Wasserman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118518"&gt;Treelets—An adaptive multi-scale basis for sparse unordered data&lt;/a&gt;. 435--471.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Fionn Murtagh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118519"&gt;Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data&lt;/a&gt;. 472--473.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter J. Bickel&lt;/strong&gt;, &lt;strong&gt;Ya’acov Ritov&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118520"&gt;Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data&lt;/a&gt;. 474--477.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nicolai Meinshausen&lt;/strong&gt;, &lt;strong&gt;Peter Bühlmann&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118521"&gt;Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data&lt;/a&gt;. 478--481.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Robert Tibshirani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118522"&gt;Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data&lt;/a&gt;. 482--483.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xing Qiu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118523"&gt;Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data&lt;/a&gt;. 484--488.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Catherine Tuglus&lt;/strong&gt;, &lt;strong&gt;Mark J. van der Laan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118524"&gt;Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data&lt;/a&gt;. 489--493.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ann B. Lee&lt;/strong&gt;, &lt;strong&gt;Boaz Nadler&lt;/strong&gt;, &lt;strong&gt;Larry Wasserman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118525"&gt;Rejoinder of: Treelets—An adaptive multi-scale basis for spare unordered data&lt;/a&gt;. 494--500.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;S. C. Kou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118526"&gt;Stochastic modeling in nanoscale biophysics: Subdiffusion within proteins&lt;/a&gt;. 501--535.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrew Gelman&lt;/strong&gt;, &lt;strong&gt;Cexun Jeffrey Cai&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118527"&gt;Should the Democrats move to the left on economic policy?&lt;/a&gt;. 536--549.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Philip B. Stark&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118528"&gt;Conservative statistical post-election audits&lt;/a&gt;. 550--581.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lu Zheng&lt;/strong&gt;, &lt;strong&gt;Marvin Zelen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118529"&gt;Multi-center clinical trials: Randomization and ancillary statistics&lt;/a&gt;. 582--600.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Haipeng Shen&lt;/strong&gt;, &lt;strong&gt;Jianhua Z. Huang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118530"&gt;Forecasting time series of inhomogeneous Poisson processes with application to call center workforce management&lt;/a&gt;. 601--623.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;T. A. Buishand&lt;/strong&gt;, &lt;strong&gt;L. de Haan&lt;/strong&gt;, &lt;strong&gt;C. Zhou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118531"&gt;On spatial extremes: With application to a rainfall problem&lt;/a&gt;. 624--642.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Holger Höfling&lt;/strong&gt;, &lt;strong&gt;Robert Tibshirani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118532"&gt;A study of pre-validation&lt;/a&gt;. 643--664.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qingzhao Yu&lt;/strong&gt;, &lt;strong&gt;Elizabeth A. Stasny&lt;/strong&gt;, &lt;strong&gt;Bin Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118533"&gt;Bayesian models to adjust for response bias in survey data for estimating rape and domestic violence rates from the NCVS&lt;/a&gt;. 665--686.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Robert B. Scharpf&lt;/strong&gt;, &lt;strong&gt;Giovanni Parmigiani&lt;/strong&gt;, &lt;strong&gt;Jonathan Pevsner&lt;/strong&gt;, &lt;strong&gt;Ingo Ruczinski&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118534"&gt;Hidden Markov models for the assessment of chromosomal alterations using high-throughput SNP arrays&lt;/a&gt;. 687--713.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Egil Ferkingstad&lt;/strong&gt;, &lt;strong&gt;Arnoldo Frigessi&lt;/strong&gt;, &lt;strong&gt;Håvard Rue&lt;/strong&gt;, &lt;strong&gt;Gudmar Thorleifsson&lt;/strong&gt;, &lt;strong&gt;Augustine Kong&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118535"&gt;Unsupervised empirical Bayesian multiple testing with external covariates&lt;/a&gt;. 714--735.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xiaoxi Zhang&lt;/strong&gt;, &lt;strong&gt;Timothy D. Johnson&lt;/strong&gt;, &lt;strong&gt;Roderick J. A. Little&lt;/strong&gt;, &lt;strong&gt;Yue Cao&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118536"&gt;Quantitative magnetic resonance image analysis via the EM algorithm with stochastic variation&lt;/a&gt;. 736--755.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sergio Venturini&lt;/strong&gt;, &lt;strong&gt;Francesca Dominici&lt;/strong&gt;, &lt;strong&gt;Giovanni Parmigiani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1215118537"&gt;Gamma shape mixtures for heavy-tailed distributions&lt;/a&gt;. 756--776.&lt;/p&gt;</description><guid>http://projecteuclid.org/euclid.aoas/1215118515</guid><pubDate>Thu, 03 Jul 2008 16:57 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 2, Number 3 (2008)</title><link>http://projecteuclid.org/euclid.aoas/1223908038</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Persi Diaconis&lt;/strong&gt;, &lt;strong&gt;Sharad Goel&lt;/strong&gt;, &lt;strong&gt;Susan Holmes&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908041"&gt;Horseshoes in multidimensional scaling and local kernel methods&lt;/a&gt;. 777--807.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Donald B. Rubin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908042"&gt;For objective causal inference, design trumps analysis&lt;/a&gt;. 808--840.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hemant Ishwaran&lt;/strong&gt;, &lt;strong&gt;Udaya B. Kogalur&lt;/strong&gt;, &lt;strong&gt;Eugene H. Blackstone&lt;/strong&gt;, &lt;strong&gt;Michael S. Lauer&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908043"&gt;Random survival forests&lt;/a&gt;. 841--860.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;P. L. Davies&lt;/strong&gt;, &lt;strong&gt;U. Gather&lt;/strong&gt;, &lt;strong&gt;M. Meise&lt;/strong&gt;, &lt;strong&gt;D. Mergel&lt;/strong&gt;, &lt;strong&gt;T. Mildenberger&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908044"&gt;Residual-based localization and quantification of peaks in X-ray diffractograms&lt;/a&gt;. 861--886.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Louis Lyons&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908045"&gt;Open statistical issues in Particle Physics&lt;/a&gt;. 887--915.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jerome H. Friedman&lt;/strong&gt;, &lt;strong&gt;Bogdan E. Popescu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908046"&gt;Predictive learning via rule ensembles&lt;/a&gt;. 916--954.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;L. Fraser Jackson&lt;/strong&gt;, &lt;strong&gt;Alistair G. Gray&lt;/strong&gt;, &lt;strong&gt;Stephen E. Fienberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908047"&gt;Sequential category aggregation and partitioning approaches for multi-way contingency tables based on survey and census data&lt;/a&gt;. 955--981.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Philip B. Stark&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908048"&gt;A sharper discrepancy measure for post-election audits&lt;/a&gt;. 982--985.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniela M. Witten&lt;/strong&gt;, &lt;strong&gt;Robert Tibshirani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908049"&gt;Testing significance of features by lassoed principal components&lt;/a&gt;. 986--1012.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mary C. Meyer&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908050"&gt;Inference using shape-restricted regression splines&lt;/a&gt;. 1013--1033.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Beth Ann Griffin&lt;/strong&gt;, &lt;strong&gt;Daniel F. McCaffrey&lt;/strong&gt;, &lt;strong&gt;Andrew R. Morral&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908051"&gt;An application of principal stratification to control for institutionalization at follow-up in studies of substance abuse treatment programs&lt;/a&gt;. 1034--1055.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jie Peng&lt;/strong&gt;, &lt;strong&gt;Hans-Georg Müller&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908052"&gt;Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions&lt;/a&gt;. 1056--1077.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Cécile Ané&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908053"&gt;Analysis of comparative data with hierarchical autocorrelation&lt;/a&gt;. 1078--1102.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Steven D. Mark&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908054"&gt;A general formulation for standardization of rates as a method to control confounding by measured and unmeasured disease risk factors&lt;/a&gt;. 1103--1122.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;D. Commenges&lt;/strong&gt;, &lt;strong&gt;A. Sayyareh&lt;/strong&gt;, &lt;strong&gt;L. Letenneur&lt;/strong&gt;, &lt;strong&gt;J. Guedj&lt;/strong&gt;, &lt;strong&gt;A. Bar-Hen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1223908055"&gt;Estimating a difference of Kullback–Leibler risks using a normalized difference of AIC&lt;/a&gt;. 1123--1142.&lt;/p&gt;</description><guid>http://projecteuclid.org/euclid.aoas/1223908038</guid><pubDate>Mon, 13 Oct 2008 10:27 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 2, Number 4 (2008)</title><link>http://projecteuclid.org/euclid.aoas/1231424200</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Montserrat Fuentes&lt;/strong&gt;, &lt;strong&gt;Peter Guttorp&lt;/strong&gt;, &lt;strong&gt;Michael L. Stein&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424203"&gt;Special section on statistics in the atmospheric sciences&lt;/a&gt;. 1143--1147.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Montserrat Fuentes&lt;/strong&gt;, &lt;strong&gt;Brian Reich&lt;/strong&gt;, &lt;strong&gt;Gyuwon Lee&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424204"&gt;Spatial–temporal mesoscale modeling of rainfall intensity using gage and radar data&lt;/a&gt;. 1148--1169.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Veronica J. Berrocal&lt;/strong&gt;, &lt;strong&gt;Adrian E. Raftery&lt;/strong&gt;, &lt;strong&gt;Tilmann Gneiting&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424205"&gt;Probabilistic quantitative precipitation field forecasting using a two-stage spatial model&lt;/a&gt;. 1170--1193.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Huiyan Sang&lt;/strong&gt;, &lt;strong&gt;Alan E. Gelfand&lt;/strong&gt;, &lt;strong&gt;Chris Lennard&lt;/strong&gt;, &lt;strong&gt;Gabriele Hegerl&lt;/strong&gt;, &lt;strong&gt;Bruce Hewitson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424206"&gt;Interpreting self-organizing maps through space–time data models&lt;/a&gt;. 1194--1216.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Dorin Drignei&lt;/strong&gt;, &lt;strong&gt;Chris E. Forest&lt;/strong&gt;, &lt;strong&gt;Doug Nychka&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424207"&gt;Parameter estimation for computationally intensive nonlinear regression with an application to climate modeling&lt;/a&gt;. 1217--1230.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Anders Malmberg&lt;/strong&gt;, &lt;strong&gt;Avelino Arellano&lt;/strong&gt;, &lt;strong&gt;David P. Edwards&lt;/strong&gt;, &lt;strong&gt;Natasha Flyer&lt;/strong&gt;, &lt;strong&gt;Doug Nychka&lt;/strong&gt;, &lt;strong&gt;Christopher Wikle&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424208"&gt;Interpolating fields of carbon monoxide data using a hybrid statistical-physical model&lt;/a&gt;. 1231--1248.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gavin Shaddick&lt;/strong&gt;, &lt;strong&gt;Duncan Lee&lt;/strong&gt;, &lt;strong&gt;James V. Zidek&lt;/strong&gt;, &lt;strong&gt;Ruth Salway&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424209"&gt;Estimating exposure response functions using ambient pollution concentrations&lt;/a&gt;. 1249--1270.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mikyoung Jun&lt;/strong&gt;, &lt;strong&gt;Michael L. Stein&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424210"&gt;Nonstationary covariance models for global data&lt;/a&gt;. 1271--1289.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hui Zou&lt;/strong&gt;, &lt;strong&gt;Ji Zhu&lt;/strong&gt;, &lt;strong&gt;Trevor Hastie&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424211"&gt;New multicategory boosting algorithms based on multicategory Fisher-consistent losses&lt;/a&gt;. 1290--1306.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qing Zhou&lt;/strong&gt;, &lt;strong&gt;Wing Hung Wong&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424212"&gt;Reconstructing the energy landscape of a distribution from Monte Carlo samples&lt;/a&gt;. 1307--1331.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Armin Schwartzman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424213"&gt;Empirical null and false discovery rate inference for exponential families&lt;/a&gt;. 1332--1359.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrew Gelman&lt;/strong&gt;, &lt;strong&gt;Aleks Jakulin&lt;/strong&gt;, &lt;strong&gt;Maria Grazia Pittau&lt;/strong&gt;, &lt;strong&gt;Yu-Sung Su&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424214"&gt;A weakly informative default prior distribution for logistic and other regression models&lt;/a&gt;. 1360--1383.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yangxin Huang&lt;/strong&gt;, &lt;strong&gt;Tao Lu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424215"&gt;Modeling long-term longitudinal HIV dynamics with application to an AIDS clinical study&lt;/a&gt;. 1384--1408.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yang Yang&lt;/strong&gt;, &lt;strong&gt;Peter Gilbert&lt;/strong&gt;, &lt;strong&gt;Ira M. Longini, Jr.&lt;/strong&gt;, &lt;strong&gt;M. Elizabeth Halloran&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424216"&gt;A Bayesian framework for estimating vaccine efficacy per infectious contact&lt;/a&gt;. 1409--1431.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Li Qin&lt;/strong&gt;, &lt;strong&gt;Yuedong Wang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424217"&gt;Nonparametric spectral analysis with applications to seizure characterization using EEG time series&lt;/a&gt;. 1432--1451.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Isobel Claire Gormley&lt;/strong&gt;, &lt;strong&gt;Thomas Brendan Murphy&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424218"&gt;A mixture of experts model for rank data with applications in election studies&lt;/a&gt;. 1452--1477.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Paul Gustafson&lt;/strong&gt;, &lt;strong&gt;Geneviève Lefebvre&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424219"&gt;Bayesian multinomial regression with class-specific predictor selection&lt;/a&gt;. 1478--1502.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hsieh Fushing&lt;/strong&gt;, &lt;strong&gt;Li Zhu&lt;/strong&gt;, &lt;strong&gt;David I. Shapiro-Ilan&lt;/strong&gt;, &lt;strong&gt;James F. Campbell&lt;/strong&gt;, &lt;strong&gt;Edwin E. Lewis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424220"&gt;State-space based mass event-history model I: Many decision-making agents with one target&lt;/a&gt;. 1503--1522.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tommaso Proietti&lt;/strong&gt;, &lt;strong&gt;Alessandra Luati&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424221"&gt;Real time estimation in local polynomial regression, with application to trend-cycle analysis&lt;/a&gt;. 1523--1553.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Claire Cannamela&lt;/strong&gt;, &lt;strong&gt;Josselin Garnier&lt;/strong&gt;, &lt;strong&gt;Bertrand Iooss&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1231424222"&gt;Controlled stratification for quantile estimation&lt;/a&gt;. 1554--1580.&lt;/p&gt;</description><guid>http://projecteuclid.org/euclid.aoas/1231424200</guid><pubDate>Thu, 08 Jan 2009 09:17 EST</pubDate></item><item><title>The Annals of Applied Statistics, Volume 3, Number 1 (2009)</title><link>http://projecteuclid.org/euclid.aoas/1239888357</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Thomas J. Loredo&lt;/strong&gt;, &lt;strong&gt;John Rice&lt;/strong&gt;, &lt;strong&gt;Michael L. Stein&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888360"&gt;Introduction to papers on astrostatistics&lt;/a&gt;. 1--5.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sarah Bridle&lt;/strong&gt;, &lt;strong&gt;John Shawe-Taylor&lt;/strong&gt;, &lt;strong&gt;Adam Amara&lt;/strong&gt;, &lt;strong&gt;Douglas Applegate&lt;/strong&gt;, &lt;strong&gt;Sreekumar T. Balan&lt;/strong&gt;, &lt;strong&gt;Joel Berge&lt;/strong&gt;, &lt;strong&gt;Gary Bernstein&lt;/strong&gt;, &lt;strong&gt;Hakon Dahle&lt;/strong&gt;, &lt;strong&gt;Thomas Erben&lt;/strong&gt;, &lt;strong&gt;Mandeep Gill&lt;/strong&gt;, &lt;strong&gt;Alan Heavens&lt;/strong&gt;, &lt;strong&gt;Catherine Heymans&lt;/strong&gt;, &lt;strong&gt;F. William High&lt;/strong&gt;, &lt;strong&gt;Henk Hoekstra&lt;/strong&gt;, &lt;strong&gt;Mike Jarvis&lt;/strong&gt;, &lt;strong&gt;Donnacha Kirk&lt;/strong&gt;, &lt;strong&gt;Thomas Kitching&lt;/strong&gt;, &lt;strong&gt;Jean-Paul Kneib&lt;/strong&gt;, &lt;strong&gt;Konrad Kuijken&lt;/strong&gt;, &lt;strong&gt;David Lagatutta&lt;/strong&gt;, &lt;strong&gt;Rachel Mandelbaum&lt;/strong&gt;, &lt;strong&gt;Richard Massey&lt;/strong&gt;, &lt;strong&gt;Yannick Mellier&lt;/strong&gt;, &lt;strong&gt;Baback Moghaddam&lt;/strong&gt;, &lt;strong&gt;Yassir Moudden&lt;/strong&gt;, &lt;strong&gt;Reiko Nakajima&lt;/strong&gt;, &lt;strong&gt;Stephane Paulin-Henriksson&lt;/strong&gt;, &lt;strong&gt;Sandrine Pires&lt;/strong&gt;, &lt;strong&gt;Anais Rassat&lt;/strong&gt;, &lt;strong&gt;Alexandre Refregier&lt;/strong&gt;, &lt;strong&gt;Jason Rhodes&lt;/strong&gt;, &lt;strong&gt;Tim Schrabback&lt;/strong&gt;, &lt;strong&gt;Elisabetta Semboloni&lt;/strong&gt;, &lt;strong&gt;Marina Shmakova&lt;/strong&gt;, &lt;strong&gt;Ludovic van Waerbeke&lt;/strong&gt;, &lt;strong&gt;Dugan Witherick&lt;/strong&gt;, &lt;strong&gt;Lisa Voigt&lt;/strong&gt;, &lt;strong&gt;David Wittman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888361"&gt;Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing&lt;/a&gt;. 6--37.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nicolai Meinshausen&lt;/strong&gt;, &lt;strong&gt;Peter Bickel&lt;/strong&gt;, &lt;strong&gt;John Rice&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888362"&gt;Efficient blind search: Optimal power of detection under computational cost constraints&lt;/a&gt;. 38--60.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Paolo Cabella&lt;/strong&gt;, &lt;strong&gt;Domenico Marinucci&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888363"&gt;Statistical challenges in the analysis of Cosmic Microwave Background radiation&lt;/a&gt;. 61--95.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bodhisattva Sen&lt;/strong&gt;, &lt;strong&gt;Moulinath Banerjee&lt;/strong&gt;, &lt;strong&gt;Michael Woodroofe&lt;/strong&gt;, &lt;strong&gt;Mario Mateo&lt;/strong&gt;, &lt;strong&gt;Matthew Walker&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888364"&gt;Streaming motion in Leo I&lt;/a&gt;. 96--116.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David A. van Dyk&lt;/strong&gt;, &lt;strong&gt;Steven DeGennaro&lt;/strong&gt;, &lt;strong&gt;Nathan Stein&lt;/strong&gt;, &lt;strong&gt;William H. Jefferys&lt;/strong&gt;, &lt;strong&gt;Ted von Hippel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888365"&gt;Statistical analysis of stellar evolution&lt;/a&gt;. 117--143.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Christopher Genovese&lt;/strong&gt;, &lt;strong&gt;Peter Freeman&lt;/strong&gt;, &lt;strong&gt;Larry Wasserman&lt;/strong&gt;, &lt;strong&gt;Robert Nichol&lt;/strong&gt;, &lt;strong&gt;Christopher Miller&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888366"&gt;Inference for the dark energy equation of state using Type IA supernova data&lt;/a&gt;. 144--178.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yoav Benjamini&lt;/strong&gt;, &lt;strong&gt;Yulia Gavrilov&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888367"&gt;A simple forward selection procedure based on false discovery rate control&lt;/a&gt;. 179--198.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Murray Aitkin&lt;/strong&gt;, &lt;strong&gt;Charles C. Liu&lt;/strong&gt;, &lt;strong&gt;Tom Chadwick&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888368"&gt;Bayesian model comparison and model averaging for small-area estimation&lt;/a&gt;. 199--221.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ruiyan Luo&lt;/strong&gt;, &lt;strong&gt;Bret Larget&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888369"&gt;Modeling substitution and indel processes for AFLP marker evolution and phylogenetic inference&lt;/a&gt;. 222--248.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Philippe Huber&lt;/strong&gt;, &lt;strong&gt;Olivier Scaillet&lt;/strong&gt;, &lt;strong&gt;Maria-Pia Victoria-Feser&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888370"&gt;Assessing multivariate predictors of financial market movements: A latent factor framework for ordinal data&lt;/a&gt;. 249--271.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael L. Stein&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888371"&gt;Spatial interpolation of high-frequency monitoring data&lt;/a&gt;. 272--291.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mark Culp&lt;/strong&gt;, &lt;strong&gt;George Michailidis&lt;/strong&gt;, &lt;strong&gt;Kjell Johnson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888372"&gt;On multi-view learning with additive models&lt;/a&gt;. 292--318.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Carles Bretó&lt;/strong&gt;, &lt;strong&gt;Daihai He&lt;/strong&gt;, &lt;strong&gt;Edward L. Ionides&lt;/strong&gt;, &lt;strong&gt;Aaron A. King&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888373"&gt;Time series analysis via mechanistic models&lt;/a&gt;. 319--348.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Snigdhansu Chatterjee&lt;/strong&gt;, &lt;strong&gt;Peihua Qiu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888374"&gt;Distribution-free cumulative sum control charts using bootstrap-based control limits&lt;/a&gt;. 349--369.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Christopher J. Paciorek&lt;/strong&gt;, &lt;strong&gt;Jeff D. Yanosky&lt;/strong&gt;, &lt;strong&gt;Robin C. Puett&lt;/strong&gt;, &lt;strong&gt;Francine Laden&lt;/strong&gt;, &lt;strong&gt;Helen H. Suh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888375"&gt;Practical large-scale spatio-temporal modeling of particulate matter concentrations&lt;/a&gt;. 370--397.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abhyuday Mandal&lt;/strong&gt;, &lt;strong&gt;Pritam Ranjan&lt;/strong&gt;, &lt;strong&gt;C. F. Jeff Wu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888376"&gt;$\bolds{\mathcal{G}}$ -SELC: Optimization by sequential elimination of level combinations using genetic algorithms and Gaussian processes&lt;/a&gt;. 398--421.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yacine Aït-Sahalia&lt;/strong&gt;, &lt;strong&gt;Jialin Yu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888377"&gt;High frequency market microstructure noise estimates and liquidity measures&lt;/a&gt;. 422--457.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Chong-Zhi Di&lt;/strong&gt;, &lt;strong&gt;Ciprian M. Crainiceanu&lt;/strong&gt;, &lt;strong&gt;Brian S. Caffo&lt;/strong&gt;, &lt;strong&gt;Naresh M. Punjabi&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888378"&gt;Multilevel functional principal component analysis&lt;/a&gt;. 458--488.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Donald B. Macnaughton&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1239888379"&gt;Letter to the Editor&lt;/a&gt;. 489--489.&lt;/p&gt;</description><guid>http://projecteuclid.org/euclid.aoas/1239888357</guid><pubDate>Thu, 16 Apr 2009 09:27 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 3, Number 2 (2009)</title><link>http://projecteuclid.org/euclid.aoas/1245676180</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Shane T. Jensen&lt;/strong&gt;, &lt;strong&gt;Kenneth E. Shirley&lt;/strong&gt;, &lt;strong&gt;Abraham J. Wyner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676183"&gt;Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball&lt;/a&gt;. 491--520.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jianqing Fan&lt;/strong&gt;, &lt;strong&gt;Yang Feng&lt;/strong&gt;, &lt;strong&gt;Yichao Wu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676184"&gt;Network exploration via the adaptive LASSO and SCAD penalties&lt;/a&gt;. 521--541.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jorge R. Busch&lt;/strong&gt;, &lt;strong&gt;Pablo A. Ferrari&lt;/strong&gt;, &lt;strong&gt;Ana Georgina Flesia&lt;/strong&gt;, &lt;strong&gt;Ricardo Fraiman&lt;/strong&gt;, &lt;strong&gt;Sebastian P. Grynberg&lt;/strong&gt;, &lt;strong&gt;Florencia Leonardi&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676185"&gt;Testing statistical hypothesis on random trees and applications to the protein classification problem&lt;/a&gt;. 542--563.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Art B. Owen&lt;/strong&gt;, &lt;strong&gt;Patrick O. Perry&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676186"&gt;Bi-cross-validation of the SVD and the nonnegative matrix factorization&lt;/a&gt;. 564--594.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Dankmar Böhning&lt;/strong&gt;, &lt;strong&gt;Peter G. M. van der Heijden&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676187"&gt;A covariate adjustment for zero-truncated approaches to estimating the size of hidden and elusive populations&lt;/a&gt;. 595--610.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Francesco Bartolucci&lt;/strong&gt;, &lt;strong&gt;Monia Lupparelli&lt;/strong&gt;, &lt;strong&gt;Giorgio E. Montanari&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676188"&gt;Latent Markov model for longitudinal binary data: An application to the performance evaluation of nursing homes&lt;/a&gt;. 611--636.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Céline Lévy-Leduc&lt;/strong&gt;, &lt;strong&gt;François Roueff&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676189"&gt;Detection and localization of change-points in high-dimensional network traffic data&lt;/a&gt;. 637--662.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;D. Fouskakis&lt;/strong&gt;, &lt;strong&gt;I. Ntzoufras&lt;/strong&gt;, &lt;strong&gt;D. Draper&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676190"&gt;Bayesian variable selection using cost-adjusted BIC, with application to cost-effective measurement of quality of health care&lt;/a&gt;. 663--690.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brenda Jenney&lt;/strong&gt;, &lt;strong&gt;Sharon Lohr&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676191"&gt;Experimental designs for multiple-level responses, with application to a large-scale educational intervention&lt;/a&gt;. 691--709.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xi Kathy Zhou&lt;/strong&gt;, &lt;strong&gt;Merlise A. Clyde&lt;/strong&gt;, &lt;strong&gt;James Garrett&lt;/strong&gt;, &lt;strong&gt;Viridiana Lourdes&lt;/strong&gt;, &lt;strong&gt;Michael O’Connell&lt;/strong&gt;, &lt;strong&gt;Giovanni Parmigiani&lt;/strong&gt;, &lt;strong&gt;David J. Turner&lt;/strong&gt;, &lt;strong&gt;Tim Wiles&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676192"&gt;Statistical methods for automated drug susceptibility testing: Bayesian minimum inhibitory concentration prediction from growth curves&lt;/a&gt;. 710--730.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter J. Green&lt;/strong&gt;, &lt;strong&gt;Julia Mortera&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676193"&gt;Sensitivity of inferences in forensic genetics to assumptions about founding genes&lt;/a&gt;. 731--763.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Paul T. Edlefsen&lt;/strong&gt;, &lt;strong&gt;Chuanhai Liu&lt;/strong&gt;, &lt;strong&gt;Arthur P. Dempster&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676194"&gt;Estimating limits from Poisson counting data using Dempster–Shafer analysis&lt;/a&gt;. 764--790.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kyung-Ah Sohn&lt;/strong&gt;, &lt;strong&gt;Eric P. Xing&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676195"&gt;A hierarchical Dirichlet process mixture model for haplotype reconstruction from multi-population data&lt;/a&gt;. 791--821.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ryan J. Tibshirani&lt;/strong&gt;, &lt;strong&gt;Robert Tibshirani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676196"&gt;A bias correction for the minimum error rate in cross-validation&lt;/a&gt;. 822--829.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brisa N. Sánchez&lt;/strong&gt;, &lt;strong&gt;Esben Budtz-Jørgensen&lt;/strong&gt;, &lt;strong&gt;Louise M. Ryan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676197"&gt;An estimating equations approach to fitting latent exposure models with longitudinal health outcomes&lt;/a&gt;. 830--856.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yili Hong&lt;/strong&gt;, &lt;strong&gt;William Q. Meeker&lt;/strong&gt;, &lt;strong&gt;James D. McCalley&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1245676198"&gt;Prediction of remaining life of power transformers based on left truncated and right censored lifetime data&lt;/a&gt;. 857--879.&lt;/p&gt;</description><guid>http://projecteuclid.org/euclid.aoas/1245676180</guid><pubDate>Mon, 22 Jun 2009 09:10 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 3, Number 3 (2009)</title><link>http://projecteuclid.org/euclid.aoas/1254773267</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Dylan S. Small&lt;/strong&gt;, &lt;strong&gt;Paul R. Rosenbaum&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773270"&gt;Error-free milestones in error prone measurements&lt;/a&gt;. 881--901.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;E. Anderes&lt;/strong&gt;, &lt;strong&gt;B. Yu&lt;/strong&gt;, &lt;strong&gt;V. Jovanovic&lt;/strong&gt;, &lt;strong&gt;C. Moroney&lt;/strong&gt;, &lt;strong&gt;M. Garay&lt;/strong&gt;, &lt;strong&gt;A. Braverman&lt;/strong&gt;, &lt;strong&gt;E. Clothiaux&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773271"&gt;Maximum likelihood estimation of cloud height from multi-angle satellite imagery&lt;/a&gt;. 902--921.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bradley Efron&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773272"&gt;Are a set of microarrays independent of each other?&lt;/a&gt;. 922--942.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Shengde Liang&lt;/strong&gt;, &lt;strong&gt;Bradley P. Carlin&lt;/strong&gt;, &lt;strong&gt;Alan E. Gelfand&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773273"&gt;Analysis of Minnesota colon and rectum cancer point patterns with spatial and nonspatial covariate information&lt;/a&gt;. 943--962.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ming Yuan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773274"&gt;State price density estimation via nonparametric mixtures&lt;/a&gt;. 963--984.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrey A. Shabalin&lt;/strong&gt;, &lt;strong&gt;Victor J. Weigman&lt;/strong&gt;, &lt;strong&gt;Charles M. Perou&lt;/strong&gt;, &lt;strong&gt;Andrew B. Nobel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773275"&gt;Finding large average submatrices in high dimensional data&lt;/a&gt;. 985--1012.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peihua Qiu&lt;/strong&gt;, &lt;strong&gt;Rong Yang&lt;/strong&gt;, &lt;strong&gt;Michael Potegal&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773276"&gt;Statistical modeling of the time course of tantrum anger&lt;/a&gt;. 1013--1034.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David Rossell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773277"&gt;GaGa: A parsimonious and flexible model for differential expression analysis&lt;/a&gt;. 1035--1051.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrew O. Finley&lt;/strong&gt;, &lt;strong&gt;Sudipto Banerjee&lt;/strong&gt;, &lt;strong&gt;Ronald E. McRoberts&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773278"&gt;Hierarchical spatial models for predicting tree species assemblages across large domains&lt;/a&gt;. 1052--1079.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Shane T. Jensen&lt;/strong&gt;, &lt;strong&gt;Ibrahim Erkan&lt;/strong&gt;, &lt;strong&gt;Erna S. Arnardottir&lt;/strong&gt;, &lt;strong&gt;Dylan S. Small&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773279"&gt;Bayesian testing of many hypotheses × many genes: A study of sleep apnea&lt;/a&gt;. 1080--1101.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ian L. Dryden&lt;/strong&gt;, &lt;strong&gt;Alexey Koloydenko&lt;/strong&gt;, &lt;strong&gt;Diwei Zhou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773280"&gt;Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging&lt;/a&gt;. 1102--1123.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sungduk Kim&lt;/strong&gt;, &lt;strong&gt;Yingmei Xi&lt;/strong&gt;, &lt;strong&gt;Ming-Hui Chen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773281"&gt;A new latent cure rate marker model for survival data&lt;/a&gt;. 1124--1146.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Erkan Ozge Buzbas&lt;/strong&gt;, &lt;strong&gt;Paul Joyce&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773282"&gt;Maximum likelihood estimates under k -allele models with selection can be numerically unstable&lt;/a&gt;. 1147--1162.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Elizabeth R. Brown&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773283"&gt;Assessing the association between trends in a biomarker and risk of event with an application in pediatric HIV/AIDS&lt;/a&gt;. 1163--1182.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;W. Evan Johnson&lt;/strong&gt;, &lt;strong&gt;X. Shirley Liu&lt;/strong&gt;, &lt;strong&gt;Jun S. Liu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773284"&gt;Doubly stochastic continuous-time hidden Markov approach for analyzing genome tiling arrays&lt;/a&gt;. 1183--1203.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Asger Hobolth&lt;/strong&gt;, &lt;strong&gt;Eric A. Stone&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1254773285"&gt;Simulation from endpoint-conditioned, continuous-time Markov chains on a finite state space, with applications to molecular evolution&lt;/a&gt;. 1204--1231.&lt;/p&gt;</description><guid>http://projecteuclid.org/euclid.aoas/1254773267</guid><pubDate>Mon, 05 Oct 2009 16:09 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 3, Number 4 (2009)</title><link>http://projecteuclid.org/euclid.aoas/1267453929</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael A. Newton&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453932"&gt;Introducing the discussion paper by Székely and Rizzo&lt;/a&gt;. 1233--1235.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gábor J. Székely&lt;/strong&gt;, &lt;strong&gt;Maria L. Rizzo&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453933"&gt;Brownian distance covariance&lt;/a&gt;. 1236--1265.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter J. Bickel&lt;/strong&gt;, &lt;strong&gt;Ying Xu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453934"&gt;Discussion of: Brownian distance covariance&lt;/a&gt;. 1266--1269.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael R. Kosorok&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453935"&gt;Discussion of: Brownian distance covariance&lt;/a&gt;. 1270--1278.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Leslie Cope&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453936"&gt;Discussion of: Brownian distance covariance&lt;/a&gt;. 1279--1281.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrey Feuerverger&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453937"&gt;Discussion of: Brownian distance covariance&lt;/a&gt;. 1282--1284.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Arthur Gretton&lt;/strong&gt;, &lt;strong&gt;Kenji Fukumizu&lt;/strong&gt;, &lt;strong&gt;Bharath K. Sriperumbudur&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453938"&gt;Discussion of: Brownian distance covariance&lt;/a&gt;. 1285--1294.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bruno Rémillard&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453939"&gt;Discussion of: Brownian distance covariance&lt;/a&gt;. 1295--1298.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Christopher R. Genovese&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453940"&gt;Discussion of: Brownian distance covariance&lt;/a&gt;. 1299--1302.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gábor J. Székely&lt;/strong&gt;, &lt;strong&gt;Maria L. Rizzo&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453941"&gt;Rejoinder: Brownian distance covariance&lt;/a&gt;. 1303--1308.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keith A. Baggerly&lt;/strong&gt;, &lt;strong&gt;Kevin R. Coombes&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453942"&gt;Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology&lt;/a&gt;. 1309--1334.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Herman Chernoff&lt;/strong&gt;, &lt;strong&gt;Shaw-Hwa Lo&lt;/strong&gt;, &lt;strong&gt;Tian Zheng&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453943"&gt;Discovering influential variables: A method of partitions&lt;/a&gt;. 1335--1369.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Edward Mulrow&lt;/strong&gt;, &lt;strong&gt;Hee-Choon Shin&lt;/strong&gt;, &lt;strong&gt;Fritz Scheuren&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453944"&gt;Assessing uncertainty in the American Indian Trust Fund&lt;/a&gt;. 1370--1381.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yingchun Zhou&lt;/strong&gt;, &lt;strong&gt;Nell Sedransk&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453945"&gt;Functional data analytic approach of modeling ECG T-wave shape to measure cardiovascular behavior&lt;/a&gt;. 1382--1402.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sivan Aldor-Noiman&lt;/strong&gt;, &lt;strong&gt;Paul D. Feigin&lt;/strong&gt;, &lt;strong&gt;Avishai Mandelbaum&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453946"&gt;Workload forecasting for a call center: Methodology and a case study&lt;/a&gt;. 1403--1447.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sarat C. Dass&lt;/strong&gt;, &lt;strong&gt;Mingfei Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453947"&gt;Hierarchical mixture models for assessing fingerprint individuality&lt;/a&gt;. 1448--1466.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Josue G. Martinez&lt;/strong&gt;, &lt;strong&gt;Jianhua Z. Huang&lt;/strong&gt;, &lt;strong&gt;Robert C. Burghardt&lt;/strong&gt;, &lt;strong&gt;Rola Barhoumi&lt;/strong&gt;, &lt;strong&gt;Raymond J. Carroll&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453948"&gt;Use of multiple singular value decompositions to analyze complex intracellular calcium ion signals&lt;/a&gt;. 1467--1492.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tucker McElroy&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453949"&gt;Incompatibility of trends in multi-year estimates from the American Community Survey&lt;/a&gt;. 1493--1504.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jan van den Broek&lt;/strong&gt;, &lt;strong&gt;Hiroshi Nishiura&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453950"&gt;Using epidemic prevalence data to jointly estimate reproduction and removal&lt;/a&gt;. 1505--1520.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David A. Orlando&lt;/strong&gt;, &lt;strong&gt;Edwin S. Iversen Jr.&lt;/strong&gt;, &lt;strong&gt;Alexander J. Hartemink&lt;/strong&gt;, &lt;strong&gt;Steven B. Haase&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453951"&gt;A branching process model for flow cytometry and budding index measurements in cell synchrony experiments&lt;/a&gt;. 1521--1541.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Li-Chu Chien&lt;/strong&gt;, &lt;strong&gt;I-Shou Chang&lt;/strong&gt;, &lt;strong&gt;Shih Sheng Jiang&lt;/strong&gt;, &lt;strong&gt;Pramod K. Gupta&lt;/strong&gt;, &lt;strong&gt;Chi-Chung Wen&lt;/strong&gt;, &lt;strong&gt;Yuh-Jenn Wu&lt;/strong&gt;, &lt;strong&gt;Chao A. Hsiung&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453952"&gt;Profiling time course expression of virus genes—an illustration of Bayesian inference under shape restrictions&lt;/a&gt;. 1542--1565.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michiel Debruyne&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453953"&gt;An outlier map for Support Vector Machine classification&lt;/a&gt;. 1566--1580.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nozer D. Singpurwalla&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453954"&gt;The utility of reliability and survival&lt;/a&gt;. 1581--1596.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Burcu Aydın&lt;/strong&gt;, &lt;strong&gt;Gábor Pataki&lt;/strong&gt;, &lt;strong&gt;Haonan Wang&lt;/strong&gt;, &lt;strong&gt;Elizabeth Bullitt&lt;/strong&gt;, &lt;strong&gt;J. S. Marron&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453955"&gt;A principal component analysis for trees&lt;/a&gt;. 1597--1615.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Iain M. Johnstone&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453956"&gt;Approximate null distribution of the largest root in multivariate analysis&lt;/a&gt;. 1616--1633.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xingdong Feng&lt;/strong&gt;, &lt;strong&gt;Xuming He&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453957"&gt;Inference on low-rank data matrices with applications to microarray data&lt;/a&gt;. 1634--1654.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;James G. Scott&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453958"&gt;Nonparametric Bayesian multiple testing for longitudinal performance stratification&lt;/a&gt;. 1655--1674.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniel Merl&lt;/strong&gt;, &lt;strong&gt;Julia Ling-Yu Chen&lt;/strong&gt;, &lt;strong&gt;Jen-Tsan Chi&lt;/strong&gt;, &lt;strong&gt;Mike West&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453959"&gt;An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling&lt;/a&gt;. 1675--1694.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Youyi Fong&lt;/strong&gt;, &lt;strong&gt;Peter Guttorp&lt;/strong&gt;, &lt;strong&gt;Janis Abkowitz&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453960"&gt;Bayesian inference and model choice in a hidden stochastic two-compartment model of hematopoietic stem cell fate decisions&lt;/a&gt;. 1695--1709.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Wei-Yin Loh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453961"&gt;Improving the precision of classification trees&lt;/a&gt;. 1710--1737.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ming Yuan&lt;/strong&gt;, &lt;strong&gt;V. Roshan Joseph&lt;/strong&gt;, &lt;strong&gt;Hui Zou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453962"&gt;Structured variable selection and estimation&lt;/a&gt;. 1738--1757.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniel Gervini&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453963"&gt;Detecting and handling outlying trajectories in irregularly sampled functional datasets&lt;/a&gt;. 1758--1775.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Fabio Rigat&lt;/strong&gt;, &lt;strong&gt;Jim Q. Smith&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453964"&gt;Semi-parametric dynamic time series modelling with applications to detecting neural dynamics&lt;/a&gt;. 1776--1804.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yufen Zhang&lt;/strong&gt;, &lt;strong&gt;James S. Hodges&lt;/strong&gt;, &lt;strong&gt;Sudipto Banerjee&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1267453965"&gt;Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing&lt;/a&gt;. 1805--1830.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1267453929_Mon, 01 Mar 2010 09:33 EST</guid><pubDate>Mon, 01 Mar 2010 09:33 EST</pubDate></item><item><title>The Annals of Applied Statistics, Volume 4, Number 1 (2010)</title><link>http://projecteuclid.org/euclid.aoas/1273584441</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stephen E. Fienberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584444"&gt;Introduction to papers on the modeling and analysis of network data&lt;/a&gt;. 1--4.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mark S. Handcock&lt;/strong&gt;, &lt;strong&gt;Krista J. Gile&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584445"&gt;Modeling social networks from sampled data&lt;/a&gt;. 5--25.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Cheolwoo Park&lt;/strong&gt;, &lt;strong&gt;Felix Hernández-Campos&lt;/strong&gt;, &lt;strong&gt;J. S. Marron&lt;/strong&gt;, &lt;strong&gt;Kevin Jeffay&lt;/strong&gt;, &lt;strong&gt;F. Donelson Smith&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584446"&gt;Analysis of dependence among size, rate and duration in internet flows&lt;/a&gt;. 26--52.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jie Peng&lt;/strong&gt;, &lt;strong&gt;Ji Zhu&lt;/strong&gt;, &lt;strong&gt;Anna Bergamaschi&lt;/strong&gt;, &lt;strong&gt;Wonshik Han&lt;/strong&gt;, &lt;strong&gt;Dong-Young Noh&lt;/strong&gt;, &lt;strong&gt;Jonathan R. Pollack&lt;/strong&gt;, &lt;strong&gt;Pei Wang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584447"&gt;Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer&lt;/a&gt;. 53--77.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Harsh Singhal&lt;/strong&gt;, &lt;strong&gt;George Michailidis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584448"&gt;Optimal experiment design in a filtering context with application to sampled network data&lt;/a&gt;. 78--93.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mladen Kolar&lt;/strong&gt;, &lt;strong&gt;Le Song&lt;/strong&gt;, &lt;strong&gt;Amr Ahmed&lt;/strong&gt;, &lt;strong&gt;Eric P. Xing&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584449"&gt;Estimating time-varying networks&lt;/a&gt;. 94--123.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jonathan Chang&lt;/strong&gt;, &lt;strong&gt;David M. Blei&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584450"&gt;Hierarchical relational models for document networks&lt;/a&gt;. 124--150.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Wolfgang Jank&lt;/strong&gt;, &lt;strong&gt;Inbal Yahav&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584451"&gt;E-loyalty networks in online auctions&lt;/a&gt;. 151--178.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ann B. Lee&lt;/strong&gt;, &lt;strong&gt;Diana Luca&lt;/strong&gt;, &lt;strong&gt;Kathryn Roeder&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584452"&gt;A spectral graph approach to discovering genetic ancestry&lt;/a&gt;. 179--202.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mária Süveges&lt;/strong&gt;, &lt;strong&gt;Anthony C. Davison&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584453"&gt;Model misspecification in peaks over threshold analysis&lt;/a&gt;. 203--221.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bhojnarine R. Rambharat&lt;/strong&gt;, &lt;strong&gt;Anthony E. Brockwell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584454"&gt;Sequential Monte Carlo pricing of American-style options under stochastic volatility models&lt;/a&gt;. 222--265.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hugh A. Chipman&lt;/strong&gt;, &lt;strong&gt;Edward I. George&lt;/strong&gt;, &lt;strong&gt;Robert E. McCulloch&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584455"&gt;BART: Bayesian additive regression trees&lt;/a&gt;. 266--298.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;QiQi Lu&lt;/strong&gt;, &lt;strong&gt;Robert Lund&lt;/strong&gt;, &lt;strong&gt;Thomas C. M. Lee&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584456"&gt;An MDL approach to the climate segmentation problem&lt;/a&gt;. 299--319.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Elias Chaibub Neto&lt;/strong&gt;, &lt;strong&gt;Mark P. Keller&lt;/strong&gt;, &lt;strong&gt;Alan D. Attie&lt;/strong&gt;, &lt;strong&gt;Brian S. Yandell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584457"&gt;Causal graphical models in systems genetics: A unified framework for joint inference of causal network and genetic architecture for correlated phenotypes&lt;/a&gt;. 320--339.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tian Siva Tian&lt;/strong&gt;, &lt;strong&gt;Gareth M. James&lt;/strong&gt;, &lt;strong&gt;Rand R. Wilcox&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584458"&gt;A multivariate adaptive stochastic search method for dimensionality reduction in classification&lt;/a&gt;. 340--365.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kenneth E. Shirley&lt;/strong&gt;, &lt;strong&gt;Dylan S. Small&lt;/strong&gt;, &lt;strong&gt;Kevin G. Lynch&lt;/strong&gt;, &lt;strong&gt;Stephen A. Maisto&lt;/strong&gt;, &lt;strong&gt;David W. Oslin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584459"&gt;Hidden Markov models for alcoholism treatment trial data&lt;/a&gt;. 366--395.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Thomas Brendan Murphy&lt;/strong&gt;, &lt;strong&gt;Nema Dean&lt;/strong&gt;, &lt;strong&gt;Adrian E. Raftery&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584460"&gt;Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications&lt;/a&gt;. 396--421.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Omkar Muralidharan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584461"&gt;An empirical Bayes mixture method for effect size and false discovery rate estimation&lt;/a&gt;. 422--438.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brian J. Reich&lt;/strong&gt;, &lt;strong&gt;Dipankar Bandyopadhyay&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584462"&gt;A latent factor model for spatial data with informative missingness&lt;/a&gt;. 439--459.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hua Liang&lt;/strong&gt;, &lt;strong&gt;Hongyu Miao&lt;/strong&gt;, &lt;strong&gt;Hulin Wu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584463"&gt;Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model&lt;/a&gt;. 460--483.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Elizabeth C. Mannshardt-Shamseldin&lt;/strong&gt;, &lt;strong&gt;Richard L. Smith&lt;/strong&gt;, &lt;strong&gt;Stephan R. Sain&lt;/strong&gt;, &lt;strong&gt;Linda O. Mearns&lt;/strong&gt;, &lt;strong&gt;Daniel Cooley&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584464"&gt;Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data&lt;/a&gt;. 484--502.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Miika Ahdesmäki&lt;/strong&gt;, &lt;strong&gt;Korbinian Strimmer&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584465"&gt;Feature selection in omics prediction problems using cat scores and false nondiscovery rate control&lt;/a&gt;. 503--519.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Rui Wang&lt;/strong&gt;, &lt;strong&gt;Lu Tian&lt;/strong&gt;, &lt;strong&gt;Tianxi Cai&lt;/strong&gt;, &lt;strong&gt;L. J. Wei&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1273584466"&gt;Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis&lt;/a&gt;. 520--532.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1273584441_Tue, 11 May 2010 09:28 EDT</guid><pubDate>Tue, 11 May 2010 09:28 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 4, Number 2 (2010)</title><link>http://projecteuclid.org/euclid.aoas/1280842126</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stephen E. Fienberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842129"&gt;Introduction to papers on the modeling and analysis of network data—II&lt;/a&gt;. 533--534.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Eric P. Xing&lt;/strong&gt;, &lt;strong&gt;Wenjie Fu&lt;/strong&gt;, &lt;strong&gt;Le Song&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842130"&gt;A state-space mixed membership blockmodel for dynamic network tomography&lt;/a&gt;. 535--566.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tom A. B. Snijders&lt;/strong&gt;, &lt;strong&gt;Johan Koskinen&lt;/strong&gt;, &lt;strong&gt;Michael Schweinberger&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842131"&gt;Maximum likelihood estimation for social network dynamics&lt;/a&gt;. 567--588.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ya Xu&lt;/strong&gt;, &lt;strong&gt;Justin S. Dyer&lt;/strong&gt;, &lt;strong&gt;Art B. Owen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842132"&gt;Empirical stationary correlations for semi-supervised learning on graphs&lt;/a&gt;. 589--614.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ricardo Silva&lt;/strong&gt;, &lt;strong&gt;Katherine Heller&lt;/strong&gt;, &lt;strong&gt;Zoubin Ghahramani&lt;/strong&gt;, &lt;strong&gt;Edoardo M. Airoldi&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842133"&gt;Ranking relations using analogies in biological and information networks&lt;/a&gt;. 615--644.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nicholas A. Heard&lt;/strong&gt;, &lt;strong&gt;David J. Weston&lt;/strong&gt;, &lt;strong&gt;Kiriaki Platanioti&lt;/strong&gt;, &lt;strong&gt;David J. Hand&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842134"&gt;Bayesian anomaly detection methods for social networks&lt;/a&gt;. 645--662.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gareth M. James&lt;/strong&gt;, &lt;strong&gt;Chiara Sabatti&lt;/strong&gt;, &lt;strong&gt;Nengfeng Zhou&lt;/strong&gt;, &lt;strong&gt;Ji Zhu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842135"&gt;Sparse regulatory networks&lt;/a&gt;. 663--686.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hugo Zanghi&lt;/strong&gt;, &lt;strong&gt;Franck Picard&lt;/strong&gt;, &lt;strong&gt;Vincent Miele&lt;/strong&gt;, &lt;strong&gt;Christophe Ambroise&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842136"&gt;Strategies for online inference of model-based clustering in large and growing networks&lt;/a&gt;. 687--714.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mahendra Mariadassou&lt;/strong&gt;, &lt;strong&gt;Stéphane Robin&lt;/strong&gt;, &lt;strong&gt;Corinne Vacher&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842137"&gt;Uncovering latent structure in valued graphs: A variational approach&lt;/a&gt;. 715--742.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Anat Sakov&lt;/strong&gt;, &lt;strong&gt;Ilan Golani&lt;/strong&gt;, &lt;strong&gt;Dina Lipkind&lt;/strong&gt;, &lt;strong&gt;Yoav Benjamini&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842138"&gt;High-throughput data analysis in behavior genetics&lt;/a&gt;. 743--763.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Genevera I. Allen&lt;/strong&gt;, &lt;strong&gt;Robert Tibshirani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842139"&gt;Transposable regularized covariance models with an application to missing data imputation&lt;/a&gt;. 764--790.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael R. Huber&lt;/strong&gt;, &lt;strong&gt;Rodney X. Sturdivant&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842140"&gt;Building a model for scoring 20 or more runs in a baseball game&lt;/a&gt;. 791--804.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Dipankar Bandyopadhyay&lt;/strong&gt;, &lt;strong&gt;Debajyoti Sinha&lt;/strong&gt;, &lt;strong&gt;Stuart Lipsitz&lt;/strong&gt;, &lt;strong&gt;Elizabeth Letourneau&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842141"&gt;Changing approaches of prosecutors towards juvenile repeated sex-offenders: A Bayesian evaluation&lt;/a&gt;. 805--829.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;John Hughes&lt;/strong&gt;, &lt;strong&gt;John Fricks&lt;/strong&gt;, &lt;strong&gt;William Hancock&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842142"&gt;Likelihood inference for particle location in fluorescence microscopy&lt;/a&gt;. 830--848.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Carrie A. Hosman&lt;/strong&gt;, &lt;strong&gt;Ben B. Hansen&lt;/strong&gt;, &lt;strong&gt;Paul W. Holland&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842143"&gt;The sensitivity of linear regression coefficients’ confidence limits to the omission of a confounder&lt;/a&gt;. 849--870.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Audrey Qiuyan Fu&lt;/strong&gt;, &lt;strong&gt;Diane P. Genereux&lt;/strong&gt;, &lt;strong&gt;Reinhard Stöger&lt;/strong&gt;, &lt;strong&gt;Charles D. Laird&lt;/strong&gt;, &lt;strong&gt;Matthew Stephens&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842144"&gt;Statistical inference of transmission fidelity of DNA methylation patterns over somatic cell divisions in mammals&lt;/a&gt;. 871--892.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Woncheol Jang&lt;/strong&gt;, &lt;strong&gt;Ji Meng Loh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842145"&gt;Density estimation for grouped data with application to line transect sampling&lt;/a&gt;. 893--915.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kristin P. Lennox&lt;/strong&gt;, &lt;strong&gt;David B. Dahl&lt;/strong&gt;, &lt;strong&gt;Marina Vannucci&lt;/strong&gt;, &lt;strong&gt;Ryan Day&lt;/strong&gt;, &lt;strong&gt;Jerry W. Tsai&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842146"&gt;A Dirichlet process mixture of hidden Markov models for protein structure prediction&lt;/a&gt;. 916--942.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kimberly F. Sellers&lt;/strong&gt;, &lt;strong&gt;Galit Shmueli&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842147"&gt;A flexible regression model for count data&lt;/a&gt;. 943--961.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qunhua Li&lt;/strong&gt;, &lt;strong&gt;Michael J. MacCoss&lt;/strong&gt;, &lt;strong&gt;Matthew Stephens&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842148"&gt;A nested mixture model for protein identification using mass spectrometry&lt;/a&gt;. 962--987.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xiaodan Fan&lt;/strong&gt;, &lt;strong&gt;Saumyadipta Pyne&lt;/strong&gt;, &lt;strong&gt;Jun S. Liu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842149"&gt;Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle&lt;/a&gt;. 988--1013.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Wei Sun&lt;/strong&gt;, &lt;strong&gt;Fred A. Wright&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842150"&gt;A geometric interpretation of the permutation p -value and its application in eQTL studies&lt;/a&gt;. 1014--1033.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Maria L. Rizzo&lt;/strong&gt;, &lt;strong&gt;Gábor J. Székely&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842151"&gt;DISCO analysis: A nonparametric extension of analysis of variance&lt;/a&gt;. 1034--1055.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Martin Slawski&lt;/strong&gt;, &lt;strong&gt;Wolfgang zu Castell&lt;/strong&gt;, &lt;strong&gt;Gerhard Tutz&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842152"&gt;Feature selection guided by structural information&lt;/a&gt;. 1056--1080.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stergios B. Fotopoulos&lt;/strong&gt;, &lt;strong&gt;Venkata K. Jandhyala&lt;/strong&gt;, &lt;strong&gt;Elena Khapalova&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842153"&gt;Exact asymptotic distribution of change-point mle for change in the mean of Gaussian sequences&lt;/a&gt;. 1081--1104.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jan van den Brakel&lt;/strong&gt;, &lt;strong&gt;Joeri Roels&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1280842154"&gt;Intervention analysis with state-space models to estimate discontinuities due to a survey redesign&lt;/a&gt;. 1105--1138.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1280842126_Tue, 03 Aug 2010 09:30 EDT</guid><pubDate>Tue, 03 Aug 2010 09:30 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 4, Number 3 (2010)</title><link>http://projecteuclid.org/euclid.aoas/1287409364</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;George Woodworth&lt;/strong&gt;, &lt;strong&gt;Joseph Kadane&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409367"&gt;Age- and time-varying proportional hazards models for employment discrimination&lt;/a&gt;. 1139--1157.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xiaoquan Wen&lt;/strong&gt;, &lt;strong&gt;Matthew Stephens&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409368"&gt;Using linear predictors to impute allele frequencies from summary or pooled genotype data&lt;/a&gt;. 1158--1182.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yiping Dou&lt;/strong&gt;, &lt;strong&gt;Nhu D. Le&lt;/strong&gt;, &lt;strong&gt;James V. Zidek&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409369"&gt;Modeling hourly ozone concentration fields&lt;/a&gt;. 1183--1213.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gengxin Li&lt;/strong&gt;, &lt;strong&gt;Yuehua Cui&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409370"&gt;A general statistical framework for dissecting parent-of-origin effects underlying endosperm traits in flowering plants&lt;/a&gt;. 1214--1233.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brian Kriegler&lt;/strong&gt;, &lt;strong&gt;Richard Berk&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409371"&gt;Small area estimation of the homeless in Los Angeles: An application of cost-sensitive stochastic gradient boosting&lt;/a&gt;. 1234--1255.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Siddhartha R. Dalal&lt;/strong&gt;, &lt;strong&gt;Bing Han&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409372"&gt;Detection of radioactive material entering national ports: A Bayesian approach to radiation portal data&lt;/a&gt;. 1256--1271.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;James M. Kilner&lt;/strong&gt;, &lt;strong&gt;Karl J. Friston&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409373"&gt;Topological inference for EEG and MEG&lt;/a&gt;. 1272--1290.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Natalie Shlomo&lt;/strong&gt;, &lt;strong&gt;Chris Skinner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409374"&gt;Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata&lt;/a&gt;. 1291--1310.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ada Lau&lt;/strong&gt;, &lt;strong&gt;Patrick McSharry&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409375"&gt;Approaches for multi-step density forecasts with application to aggregated wind power&lt;/a&gt;. 1311--1341.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Melanie A. Wilson&lt;/strong&gt;, &lt;strong&gt;Edwin S. Iversen&lt;/strong&gt;, &lt;strong&gt;Merlise A. Clyde&lt;/strong&gt;, &lt;strong&gt;Scott C. Schmidler&lt;/strong&gt;, &lt;strong&gt;Joellen M. Schildkraut&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409376"&gt;Bayesian model search and multilevel inference for SNP association studies&lt;/a&gt;. 1342--1364.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kingshuk Roy Choudhury&lt;/strong&gt;, &lt;strong&gt;Limian Zheng&lt;/strong&gt;, &lt;strong&gt;John J. Mackrill&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409377"&gt;Analysis of spatial distribution of marker expression in cells using boundary distance plots&lt;/a&gt;. 1365--1382.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David I. Warton&lt;/strong&gt;, &lt;strong&gt;Leah C. Shepherd&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409378"&gt;Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology&lt;/a&gt;. 1383--1402.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Avishek Chakraborty&lt;/strong&gt;, &lt;strong&gt;Alan E. Gelfand&lt;/strong&gt;, &lt;strong&gt;Adam M. Wilson&lt;/strong&gt;, &lt;strong&gt;Andrew M. Latimer&lt;/strong&gt;, &lt;strong&gt;John A. Silander, Jr.&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409379"&gt;Modeling large scale species abundance with latent spatial processes&lt;/a&gt;. 1403--1429.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Holger Dette&lt;/strong&gt;, &lt;strong&gt;Andrey Pepelyshev&lt;/strong&gt;, &lt;strong&gt;Tim Holland-Letz&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409380"&gt;Optimal designs for random effect models with correlated errors with applications in population pharmacokinetics&lt;/a&gt;. 1430--1450.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yijie Zhou&lt;/strong&gt;, &lt;strong&gt;Francesca Dominici&lt;/strong&gt;, &lt;strong&gt;Thomas A. Louis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409381"&gt;A smoothing approach for masking spatial data&lt;/a&gt;. 1451--1475.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrea S. Foulkes&lt;/strong&gt;, &lt;strong&gt;Livio Azzoni&lt;/strong&gt;, &lt;strong&gt;Xiaohong Li&lt;/strong&gt;, &lt;strong&gt;Margaret A. Johnson&lt;/strong&gt;, &lt;strong&gt;Colette Smith&lt;/strong&gt;, &lt;strong&gt;Karam Mounzer&lt;/strong&gt;, &lt;strong&gt;Luis J. Montaner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409382"&gt;Prediction-based classification for longitudinal biomarkers&lt;/a&gt;. 1476--1497.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Caiyan Li&lt;/strong&gt;, &lt;strong&gt;Hongzhe Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409383"&gt;Variable selection and regression analysis for graph-structured covariates with an application to genomics&lt;/a&gt;. 1498--1516.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Paul S. Albert&lt;/strong&gt;, &lt;strong&gt;Joanna H. Shih&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409384"&gt;An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data&lt;/a&gt;. 1517--1532.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Pepa Ramirez-Cobo&lt;/strong&gt;, &lt;strong&gt;Rosa E. Lillo&lt;/strong&gt;, &lt;strong&gt;Simon Wilson&lt;/strong&gt;, &lt;strong&gt;Michael P. Wiper&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409385"&gt;Bayesian inference for double Pareto lognormal queues&lt;/a&gt;. 1533--1557.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;J. L. Wadsworth&lt;/strong&gt;, &lt;strong&gt;J. A. Tawn&lt;/strong&gt;, &lt;strong&gt;P. Jonathan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409386"&gt;Accounting for choice of measurement scale in extreme value modeling&lt;/a&gt;. 1558--1578.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Seokho Lee&lt;/strong&gt;, &lt;strong&gt;Jianhua Z. Huang&lt;/strong&gt;, &lt;strong&gt;Jianhua Hu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409387"&gt;Sparse logistic principal components analysis for binary data&lt;/a&gt;. 1579--1601.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kwun Chuen Gary Chan&lt;/strong&gt;, &lt;strong&gt;Mei-Cheng Wang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1287409388"&gt;Backward estimation of stochastic processes with failure events as time origins&lt;/a&gt;. 1602--1620.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1287409364_Mon, 18 Oct 2010 09:44 EDT</guid><pubDate>Mon, 18 Oct 2010 09:44 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 4, Number 4 (2010)</title><link>http://projecteuclid.org/euclid.aoas/1294167781</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Adele Cutler&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167785"&gt;Remembering Leo Breiman&lt;/a&gt;. 1621--1633.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter J. Bickel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167786"&gt;Leo Breiman: An important intellectual and personal force in statistics, my life and that of many others&lt;/a&gt;. 1634--1637.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter Bühlmann&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167787"&gt;Remembrance of Leo Breiman&lt;/a&gt;. 1638--1641.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael I. Jordan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167788"&gt;Leo Breiman&lt;/a&gt;. 1642--1643.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Richard A. Olshen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167789"&gt;Remembering Leo Breiman&lt;/a&gt;. 1644--1648.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jerome H. Friedman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167790"&gt;Remembering Leo&lt;/a&gt;. 1649--1651.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Charles J. Stone&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167791"&gt;Selected recollections of my relationship with Leo Breiman&lt;/a&gt;. 1652--1655.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jacob Feldman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167792"&gt;Leo and me&lt;/a&gt;. 1656--1656.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bin Yu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167793"&gt;Remembering Leo&lt;/a&gt;. 1657--1659.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter J. Bickel&lt;/strong&gt;, &lt;strong&gt;Nathan Boley&lt;/strong&gt;, &lt;strong&gt;James B. Brown&lt;/strong&gt;, &lt;strong&gt;Haiyan Huang&lt;/strong&gt;, &lt;strong&gt;Nancy R. Zhang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167794"&gt;Subsampling methods for genomic inference&lt;/a&gt;. 1660--1697.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tong Tong Wu&lt;/strong&gt;, &lt;strong&gt;Kenneth Lange&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167795"&gt;Multicategory vertex discriminant analysis for high-dimensional data&lt;/a&gt;. 1698--1721.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jennifer A. Tom&lt;/strong&gt;, &lt;strong&gt;Janet S. Sinsheimer&lt;/strong&gt;, &lt;strong&gt;Marc A. Suchard&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167796"&gt;Reuse, recycle, reweigh: Combating influenza through efficient sequential Bayesian computation for massive data&lt;/a&gt;. 1722--1748.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Zhongyang Zhang&lt;/strong&gt;, &lt;strong&gt;Kenneth Lange&lt;/strong&gt;, &lt;strong&gt;Roel Ophoff&lt;/strong&gt;, &lt;strong&gt;Chiara Sabatti&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167797"&gt;Reconstructing DNA copy number by penalized estimation and imputation&lt;/a&gt;. 1749--1773.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;D. James Greiner&lt;/strong&gt;, &lt;strong&gt;Kevin M. Quinn&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167798"&gt;Exit polling and racial bloc voting: Combining individual-level and R×C ecological data&lt;/a&gt;. 1774--1796.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yuliya V. Karpievitch&lt;/strong&gt;, &lt;strong&gt;Ashoka D. Polpitiya&lt;/strong&gt;, &lt;strong&gt;Gordon A. Anderson&lt;/strong&gt;, &lt;strong&gt;Richard D. Smith&lt;/strong&gt;, &lt;strong&gt;Alan R. Dabney&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167799"&gt;Liquid chromatography mass spectrometry-based proteomics: Biological and technological aspects&lt;/a&gt;. 1797--1823.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Dominique-Laurent Couturier&lt;/strong&gt;, &lt;strong&gt;Maria-Pia Victoria-Feser&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167800"&gt;Zero-inflated truncated generalized Pareto distribution for the analysis of radio audience data&lt;/a&gt;. 1824--1846.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;J. Drylewicz&lt;/strong&gt;, &lt;strong&gt;J. Guedj&lt;/strong&gt;, &lt;strong&gt;D. Commenges&lt;/strong&gt;, &lt;strong&gt;R. Thiébaut&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167801"&gt;Modeling the dynamics of biomarkers during primary HIV infection taking into account the uncertainty of infection date&lt;/a&gt;. 1847--1870.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nicolai Bissantz&lt;/strong&gt;, &lt;strong&gt;Hajo Holzmann&lt;/strong&gt;, &lt;strong&gt;Mirosław Pawlak&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167802"&gt;Improving PSF calibration in confocal microscopic imaging—estimating and exploiting bilateral symmetry&lt;/a&gt;. 1871--1891.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mohammed Haddou&lt;/strong&gt;, &lt;strong&gt;Louis-Paul Rivest&lt;/strong&gt;, &lt;strong&gt;Michael Pierrynowski&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167803"&gt;A nonlinear mixed effects directional model for the estimation of the rotation axes of the human ankle&lt;/a&gt;. 1892--1912.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tingting Zhang&lt;/strong&gt;, &lt;strong&gt;S. C. Kou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167804"&gt;Nonparametric inference of doubly stochastic Poisson process data via the kernel method&lt;/a&gt;. 1913--1941.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Veronica J. Berrocal&lt;/strong&gt;, &lt;strong&gt;Alan E. Gelfand&lt;/strong&gt;, &lt;strong&gt;David M. Holland&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167805"&gt;A bivariate space–time downscaler under space and time misalignment&lt;/a&gt;. 1942--1975.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Samiran Ghosh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167806"&gt;An imputation-based approach for parameter estimation in the presence of ambiguous censoring with application in industrial supply chain&lt;/a&gt;. 1976--1999.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xia Wang&lt;/strong&gt;, &lt;strong&gt;Dipak K. Dey&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167807"&gt;Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption&lt;/a&gt;. 2000--2023.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Francesco C. Stingo&lt;/strong&gt;, &lt;strong&gt;Yian A. Chen&lt;/strong&gt;, &lt;strong&gt;Marina Vannucci&lt;/strong&gt;, &lt;strong&gt;Marianne Barrier&lt;/strong&gt;, &lt;strong&gt;Philip E. Mirkes&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167808"&gt;A Bayesian graphical modeling approach to microRNA regulatory network inference&lt;/a&gt;. 2024--2048.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nicolai Meinshausen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167809"&gt;Node harvest&lt;/a&gt;. 2049--2072.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Luciano I. de Castro&lt;/strong&gt;, &lt;strong&gt;Harry J. Paarsch&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167810"&gt;Testing affiliation in private-values models of first-price auctions using grid distributions&lt;/a&gt;. 2073--2098.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Adam A. Szpiro&lt;/strong&gt;, &lt;strong&gt;Kenneth M. Rice&lt;/strong&gt;, &lt;strong&gt;Thomas Lumley&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167811"&gt;Model-robust regression and a Bayesian “sandwich” estimator&lt;/a&gt;. 2099--2113.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xuming He&lt;/strong&gt;, &lt;strong&gt;Ya-Hui Hsu&lt;/strong&gt;, &lt;strong&gt;Mingxiu Hu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167812"&gt;Detection of treatment effects by covariate-adjusted expected shortfall&lt;/a&gt;. 2114--2125.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Alejandro Jara&lt;/strong&gt;, &lt;strong&gt;Emmanuel Lesaffre&lt;/strong&gt;, &lt;strong&gt;Maria De Iorio&lt;/strong&gt;, &lt;strong&gt;Fernando Quintana&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167813"&gt;Bayesian semiparametric inference for multivariate doubly-interval-censored data&lt;/a&gt;. 2126--2149.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jan Gertheiss&lt;/strong&gt;, &lt;strong&gt;Gerhard Tutz&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167814"&gt;Sparse modeling of categorial explanatory variables&lt;/a&gt;. 2150--2180.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brian Francis&lt;/strong&gt;, &lt;strong&gt;Regina Dittrich&lt;/strong&gt;, &lt;strong&gt;Reinhold Hatzinger&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167815"&gt;Modeling heterogeneity in ranked responses by nonparametric maximum likelihood: How do Europeans get their scientific knowledge?&lt;/a&gt;. 2181--2202.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David I. Warton&lt;/strong&gt;, &lt;strong&gt;Leah C. Shepherd&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167816"&gt;Correction note: Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology&lt;/a&gt;. 2203--2204.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ada Lau&lt;/strong&gt;, &lt;strong&gt;Patrick McSharry&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1294167817"&gt;Correction note: Approaches for multi-step density forecasts with application to aggregated wind power&lt;/a&gt;. 2205--2205.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1294167781_Tue, 04 Jan 2011 14:04 EST</guid><pubDate>Tue, 04 Jan 2011 14:04 EST</pubDate></item><item><title>The Annals of Applied Statistics, Volume 5, Number 1 (2011)</title><link>http://projecteuclid.org/euclid.aoas/1300715166</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael L. Stein&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715169"&gt;Editorial&lt;/a&gt;. 1--4.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Blakeley B. McShane&lt;/strong&gt;, &lt;strong&gt;Abraham J. Wyner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715170"&gt;A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 5--44.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;L. Mark Berliner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715171"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 45--46.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Alexey Kaplan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715172"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 47--51.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Richard A. Davis&lt;/strong&gt;, &lt;strong&gt;Jingchen Liu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715173"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 52--55.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stephen McIntyre&lt;/strong&gt;, &lt;strong&gt;Ross McKitrick&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715174"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 56--60.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Murali Haran&lt;/strong&gt;, &lt;strong&gt;Nathan M. Urban&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715175"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 61--64.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gavin A. Schmidt&lt;/strong&gt;, &lt;strong&gt;Michael E. Mann&lt;/strong&gt;, &lt;strong&gt;Scott D. Rutherford&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715176"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 65--70.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lasse Holmström&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715177"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 71--75.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jason E. Smerdon&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715178"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 76--79.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Doug Nychka&lt;/strong&gt;, &lt;strong&gt;Bo Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715179"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 80--82.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Martin P. Tingley&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715180"&gt;Spurious predictions with random time series: The Lasso in the context of paleoclimatic reconstructions. Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 83--87.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter Craigmile&lt;/strong&gt;, &lt;strong&gt;Bala Rajaratnam&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715181"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 88--90.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Eugene R. Wahl&lt;/strong&gt;, &lt;strong&gt;Caspar M. Ammann&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715182"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 91--95.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jonathan Rougier&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715183"&gt;Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?&lt;/a&gt;. 96--98.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Blakeley B. McShane&lt;/strong&gt;, &lt;strong&gt;Abraham J. Wyner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715184"&gt;Rejoinder&lt;/a&gt;. 99--123.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Chaitra H. Nagaraja&lt;/strong&gt;, &lt;strong&gt;Lawrence D. Brown&lt;/strong&gt;, &lt;strong&gt;Linda H. Zhao&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715185"&gt;An autoregressive approach to house price modeling&lt;/a&gt;. 124--149.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stephan R. Sain&lt;/strong&gt;, &lt;strong&gt;Reinhard Furrer&lt;/strong&gt;, &lt;strong&gt;Noel Cressie&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715186"&gt;A spatial analysis of multivariate output from regional climate models&lt;/a&gt;. 150--175.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mengxin Li&lt;/strong&gt;, &lt;strong&gt;Wei-Liem Loh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715187"&gt;Estimating the number of neurons in multi-neuronal spike trains&lt;/a&gt;. 176--200.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lizhen Xu&lt;/strong&gt;, &lt;strong&gt;Radu V. Craiu&lt;/strong&gt;, &lt;strong&gt;Lei Sun&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715188"&gt;Bayesian methods to overcome the winner’s curse in genetic studies&lt;/a&gt;. 201--231.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Patrick Breheny&lt;/strong&gt;, &lt;strong&gt;Jian Huang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715189"&gt;Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection&lt;/a&gt;. 232--253.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Charles Sutton&lt;/strong&gt;, &lt;strong&gt;Michael I. Jordan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715190"&gt;Bayesian inference for queueing networks and modeling of internet services&lt;/a&gt;. 254--282.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jeffrey S. Rosenthal&lt;/strong&gt;, &lt;strong&gt;Albert H. Yoon&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715191"&gt;Detecting multiple authorship of United States Supreme Court legal decisions using function words&lt;/a&gt;. 283--308.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Pierre Latouche&lt;/strong&gt;, &lt;strong&gt;Etienne Birmelé&lt;/strong&gt;, &lt;strong&gt;Christophe Ambroise&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715192"&gt;Overlapping stochastic block models with application to the French political blogosphere&lt;/a&gt;. 309--336.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jeff Goldsmith&lt;/strong&gt;, &lt;strong&gt;Brian Caffo&lt;/strong&gt;, &lt;strong&gt;Ciprian Crainiceanu&lt;/strong&gt;, &lt;strong&gt;Daniel Reich&lt;/strong&gt;, &lt;strong&gt;Yong Du&lt;/strong&gt;, &lt;strong&gt;Craig Hendrix&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715193"&gt;Nonlinear tube-fitting for the analysis of anatomical and functional structures&lt;/a&gt;. 337--363.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jonathan Gelfond&lt;/strong&gt;, &lt;strong&gt;Lee Ann Zarzabal&lt;/strong&gt;, &lt;strong&gt;Tarea Burton&lt;/strong&gt;, &lt;strong&gt;Suzanne Burns&lt;/strong&gt;, &lt;strong&gt;Mari Sogayar&lt;/strong&gt;, &lt;strong&gt;Luiz O. F. Penalva&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715194"&gt;Latent rank change detection for analysis of splice-junction microarrays with nonlinear effects&lt;/a&gt;. 364--380.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Christopher P. Saunders&lt;/strong&gt;, &lt;strong&gt;Linda J. Davis&lt;/strong&gt;, &lt;strong&gt;Andrea C. Lamas&lt;/strong&gt;, &lt;strong&gt;John J. Miller&lt;/strong&gt;, &lt;strong&gt;Donald T. Gantz&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715195"&gt;Construction and evaluation of classifiers for forensic document analysis&lt;/a&gt;. 381--399.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Li Su&lt;/strong&gt;, &lt;strong&gt;Joseph W. Hogan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715196"&gt;HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data&lt;/a&gt;. 400--426.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter Radchenko&lt;/strong&gt;, &lt;strong&gt;Gareth M. James&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715197"&gt;Improved variable selection with Forward-Lasso adaptive shrinkage&lt;/a&gt;. 427--448.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael Parzen&lt;/strong&gt;, &lt;strong&gt;Souparno Ghosh&lt;/strong&gt;, &lt;strong&gt;Stuart Lipsitz&lt;/strong&gt;, &lt;strong&gt;Debajyoti Sinha&lt;/strong&gt;, &lt;strong&gt;Garrett M. Fitzmaurice&lt;/strong&gt;, &lt;strong&gt;Bani K. Mallick&lt;/strong&gt;, &lt;strong&gt;Joseph G. Ibrahim&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715198"&gt;A generalized linear mixed model for longitudinal binary data with a marginal logit link function&lt;/a&gt;. 449--467.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sijian Wang&lt;/strong&gt;, &lt;strong&gt;Bin Nan&lt;/strong&gt;, &lt;strong&gt;Saharon Rosset&lt;/strong&gt;, &lt;strong&gt;Ji Zhu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715199"&gt;Random lasso&lt;/a&gt;. 468--485.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Karim Anaya-Izquierdo&lt;/strong&gt;, &lt;strong&gt;Frank Critchley&lt;/strong&gt;, &lt;strong&gt;Karen Vines&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715200"&gt;Orthogonal simple component analysis: A new, exploratory approach&lt;/a&gt;. 486--522.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David Bolin&lt;/strong&gt;, &lt;strong&gt;Finn Lindgren&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715201"&gt;Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping&lt;/a&gt;. 523--550.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yangxin Huang&lt;/strong&gt;, &lt;strong&gt;Hulin Wu&lt;/strong&gt;, &lt;strong&gt;Jeanne Holden-Wiltse&lt;/strong&gt;, &lt;strong&gt;Edward P. Acosta&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715202"&gt;A dynamic Bayesian nonlinear mixed-effects model of HIV response incorporating medication adherence, drug resistance and covariates&lt;/a&gt;. 551--577.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sungkyu Jung&lt;/strong&gt;, &lt;strong&gt;Mark Foskey&lt;/strong&gt;, &lt;strong&gt;J. S. Marron&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715203"&gt;Principal arc analysis on direct product manifolds&lt;/a&gt;. 578--603.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bhojnarine R. Rambharat&lt;/strong&gt;, &lt;strong&gt;Anthony E. Brockwell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1300715204"&gt;Sequential Monte Carlo pricing of American-style options under stochastic volatility models&lt;/a&gt;. 604--604.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1300715166_Mon, 21 Mar 2011 09:49 EDT</guid><pubDate>Mon, 21 Mar 2011 09:49 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 5, Number 2A (2011)</title><link>http://projecteuclid.org/euclid.aoas/1310562194</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Susan M. Paddock&lt;/strong&gt;, &lt;strong&gt;Sarah B. Hunter&lt;/strong&gt;, &lt;strong&gt;Katherine E. Watkins&lt;/strong&gt;, &lt;strong&gt;Daniel F. McCaffrey&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562197"&gt;Analysis of rolling group therapy data using conditionally autoregressive priors&lt;/a&gt;. 605--627.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniel Percival&lt;/strong&gt;, &lt;strong&gt;Kathryn Roeder&lt;/strong&gt;, &lt;strong&gt;Roni Rosenfeld&lt;/strong&gt;, &lt;strong&gt;Larry Wasserman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562198"&gt;Structured, sparse regression with application to HIV drug resistance&lt;/a&gt;. 628--644.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David Siegmund&lt;/strong&gt;, &lt;strong&gt;Benjamin Yakir&lt;/strong&gt;, &lt;strong&gt;Nancy R. Zhang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562199"&gt;Detecting simultaneous variant intervals in aligned sequences&lt;/a&gt;. 645--668.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yazhen Wang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562200"&gt;Quantum Monte Carlo simulation&lt;/a&gt;. 669--683.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Haiyong Xu&lt;/strong&gt;, &lt;strong&gt;Frederic Paik Schoenberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562201"&gt;Point process modeling of wildfire hazard in Los Angeles County, California&lt;/a&gt;. 684--704.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Valeria D’Amato&lt;/strong&gt;, &lt;strong&gt;Gabriella Piscopo&lt;/strong&gt;, &lt;strong&gt;Maria Russolillo&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562202"&gt;The mortality of the Italian population: Smoothing techniques on the Lee–Carter model&lt;/a&gt;. 705--724.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ruiyan Luo&lt;/strong&gt;, &lt;strong&gt;Hongyu Zhao&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562203"&gt;Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data&lt;/a&gt;. 725--745.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xu Han&lt;/strong&gt;, &lt;strong&gt;Dylan S. Small&lt;/strong&gt;, &lt;strong&gt;Dean P. Foster&lt;/strong&gt;, &lt;strong&gt;Vishal Patel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562204"&gt;The effect of winning an Oscar Award on survival: Correcting for healthy performer survivor bias with a rank preserving structural accelerated failure time model&lt;/a&gt;. 746--772.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniel F. McCaffrey&lt;/strong&gt;, &lt;strong&gt;J. R. Lockwood&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562205"&gt;Missing data in value-added modeling of teacher effects&lt;/a&gt;. 773--797.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tze Leung Lai&lt;/strong&gt;, &lt;strong&gt;Haipeng Xing&lt;/strong&gt;, &lt;strong&gt;Zehao Chen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562206"&gt;Mean–variance portfolio optimization when means and covariances are unknown&lt;/a&gt;. 798--823.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jae Kwang Kim&lt;/strong&gt;, &lt;strong&gt;Wayne A. Fuller&lt;/strong&gt;, &lt;strong&gt;William R. Bell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562207"&gt;Variance estimation for nearest neighbor imputation for US Census long form data&lt;/a&gt;. 824--842.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Anton H. Westveld&lt;/strong&gt;, &lt;strong&gt;Peter D. Hoff&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562208"&gt;A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict&lt;/a&gt;. 843--872.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Doug Speed&lt;/strong&gt;, &lt;strong&gt;Simon Tavaré&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562209"&gt;Sparse Partitioning: Nonlinear regression with binary or tertiary predictors, with application to association studies&lt;/a&gt;. 873--893.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jeffrey S. Morris&lt;/strong&gt;, &lt;strong&gt;Veerabhadran Baladandayuthapani&lt;/strong&gt;, &lt;strong&gt;Richard C. Herrick&lt;/strong&gt;, &lt;strong&gt;Pietro Sanna&lt;/strong&gt;, &lt;strong&gt;Howard Gutstein&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562210"&gt;Automated analysis of quantitative image data using isomorphic functional mixed models, with application to proteomics data&lt;/a&gt;. 894--923.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ying Yuan&lt;/strong&gt;, &lt;strong&gt;Guosheng Yin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562211"&gt;Bayesian phase I/II adaptively randomized oncology trials with combined drugs&lt;/a&gt;. 924--942.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Amit Zeisel&lt;/strong&gt;, &lt;strong&gt;Or Zuk&lt;/strong&gt;, &lt;strong&gt;Eytan Domany&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562212"&gt;FDR control with adaptive procedures and FDR monotonicity&lt;/a&gt;. 943--968.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Adrian Dobra&lt;/strong&gt;, &lt;strong&gt;Alex Lenkoski&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562213"&gt;Copula Gaussian graphical models and their application to modeling functional disability data&lt;/a&gt;. 969--993.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jia Li&lt;/strong&gt;, &lt;strong&gt;George C. Tseng&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562214"&gt;An adaptively weighted statistic for detecting differential gene expression when combining multiple transcriptomic studies&lt;/a&gt;. 994--1019.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Emily B. Fox&lt;/strong&gt;, &lt;strong&gt;Erik B. Sudderth&lt;/strong&gt;, &lt;strong&gt;Michael I. Jordan&lt;/strong&gt;, &lt;strong&gt;Alan S. Willsky&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562215"&gt;A sticky HDP-HMM with application to speaker diarization&lt;/a&gt;. 1020--1056.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael Finegold&lt;/strong&gt;, &lt;strong&gt;Mathias Drton&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562216"&gt;Robust graphical modeling of gene networks using classical and alternative t -distributions&lt;/a&gt;. 1057--1080.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brent A. Johnson&lt;/strong&gt;, &lt;strong&gt;Qi Long&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562217"&gt;Survival ensembles by the sum of pairwise differences with application to lung cancer microarray studies&lt;/a&gt;. 1081--1101.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Mark Fiecas&lt;/strong&gt;, &lt;strong&gt;Hernando Ombao&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562218"&gt;The generalized shrinkage estimator for the analysis of functional connectivity of brain signals&lt;/a&gt;. 1102--1125.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1310562194_Wed, 13 Jul 2011 09:05 EDT</guid><pubDate>Wed, 13 Jul 2011 09:05 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 5, Number 2B (2011)</title><link>http://projecteuclid.org/euclid.aoas/1310562712</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Karen Kafadar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562715"&gt;Special section on statistics in neuroscience&lt;/a&gt;. 1127--1131.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xiaoyan Shi&lt;/strong&gt;, &lt;strong&gt;Joseph G. Ibrahim&lt;/strong&gt;, &lt;strong&gt;Jeffrey Lieberman&lt;/strong&gt;, &lt;strong&gt;Martin Styner&lt;/strong&gt;, &lt;strong&gt;Yimei Li&lt;/strong&gt;, &lt;strong&gt;Hongtu Zhu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562716"&gt;Two-stage empirical likelihood for longitudinal neuroimaging data&lt;/a&gt;. 1132--1158.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Vincent Q. Vu&lt;/strong&gt;, &lt;strong&gt;Pradeep Ravikumar&lt;/strong&gt;, &lt;strong&gt;Thomas Naselaris&lt;/strong&gt;, &lt;strong&gt;Kendrick N. Kay&lt;/strong&gt;, &lt;strong&gt;Jack L. Gallant&lt;/strong&gt;, &lt;strong&gt;Bin Yu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562717"&gt;Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models&lt;/a&gt;. 1159--1182.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sourabh Bhattacharya&lt;/strong&gt;, &lt;strong&gt;Ranjan Maitra&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562718"&gt;A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments&lt;/a&gt;. 1183--1206.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Christopher J. Long&lt;/strong&gt;, &lt;strong&gt;Patrick L. Purdon&lt;/strong&gt;, &lt;strong&gt;Simona Temereanca&lt;/strong&gt;, &lt;strong&gt;Neil U. Desai&lt;/strong&gt;, &lt;strong&gt;Matti S. Hämäläinen&lt;/strong&gt;, &lt;strong&gt;Emery N. Brown&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562719"&gt;State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing&lt;/a&gt;. 1207--1228.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yuriy Mishchencko&lt;/strong&gt;, &lt;strong&gt;Joshua T. Vogelstein&lt;/strong&gt;, &lt;strong&gt;Liam Paninski&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562720"&gt;A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data&lt;/a&gt;. 1229--1261.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Robert E. Kass&lt;/strong&gt;, &lt;strong&gt;Ryan C. Kelly&lt;/strong&gt;, &lt;strong&gt;Wei-Liem Loh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562721"&gt;Assessment of synchrony in multiple neural spike trains using loglinear point process models&lt;/a&gt;. 1262--1292.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sofia C. Olhede&lt;/strong&gt;, &lt;strong&gt;Brandon Whitcher&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562722"&gt;Nonparametric tests of structure for high angular resolution diffusion imaging in Q -space&lt;/a&gt;. 1293--1327.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jenný Brynjarsdóttir&lt;/strong&gt;, &lt;strong&gt;L. Mark Berliner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562723"&gt;Bayesian hierarchical modeling for temperature reconstruction from geothermal data&lt;/a&gt;. 1328--1359.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lorenzo Trippa&lt;/strong&gt;, &lt;strong&gt;Giovanni Parmigiani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562724"&gt;False discovery rates in somatic mutation studies of cancer&lt;/a&gt;. 1360--1378.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David S. Matteson&lt;/strong&gt;, &lt;strong&gt;Mathew W. McLean&lt;/strong&gt;, &lt;strong&gt;Dawn B. Woodard&lt;/strong&gt;, &lt;strong&gt;Shane G. Henderson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562725"&gt;Forecasting emergency medical service call arrival rates&lt;/a&gt;. 1379--1406.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nozer D. Singpurwalla&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562726"&gt;Network routing in a dynamic environment&lt;/a&gt;. 1407--1424.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrew C. Thomas&lt;/strong&gt;, &lt;strong&gt;Stephen E. Fienberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562727"&gt;Discussion of “Network routing in a dynamic environment”&lt;/a&gt;. 1425--1427.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Vishesh Karwa&lt;/strong&gt;, &lt;strong&gt;Aleksandra B. Slavković&lt;/strong&gt;, &lt;strong&gt;Eric T. Donnell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562728"&gt;Causal inference in transportation safety studies: Comparison of potential outcomes and causal diagrams&lt;/a&gt;. 1428--1455.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Saijuan Zhang&lt;/strong&gt;, &lt;strong&gt;Douglas Midthune&lt;/strong&gt;, &lt;strong&gt;Patricia M. Guenther&lt;/strong&gt;, &lt;strong&gt;Susan M. Krebs-Smith&lt;/strong&gt;, &lt;strong&gt;Victor Kipnis&lt;/strong&gt;, &lt;strong&gt;Kevin W. Dodd&lt;/strong&gt;, &lt;strong&gt;Dennis W. Buckman&lt;/strong&gt;, &lt;strong&gt;Janet A. Tooze&lt;/strong&gt;, &lt;strong&gt;Laurence Freedman&lt;/strong&gt;, &lt;strong&gt;Raymond J. Carroll&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562729"&gt;A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment&lt;/a&gt;. 1456--1487.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Leanna L. House&lt;/strong&gt;, &lt;strong&gt;Merlise A. Clyde&lt;/strong&gt;, &lt;strong&gt;Robert L. Wolpert&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562730"&gt;Bayesian nonparametric models for peak identification in MALDI-TOF mass spectroscopy&lt;/a&gt;. 1488--1511.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Irene Rocchetti&lt;/strong&gt;, &lt;strong&gt;John Bunge&lt;/strong&gt;, &lt;strong&gt;Dankmar Böhning&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562731"&gt;Population size estimation based upon ratios of recapture probabilities&lt;/a&gt;. 1512--1533.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David Knowles&lt;/strong&gt;, &lt;strong&gt;Zoubin Ghahramani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562732"&gt;Nonparametric Bayesian sparse factor models with application to gene expression modeling&lt;/a&gt;. 1534--1552.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrea Tancredi&lt;/strong&gt;, &lt;strong&gt;Brunero Liseo&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562733"&gt;A hierarchical Bayesian approach to record linkage and population size problems&lt;/a&gt;. 1553--1585.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Rensheng R. Zhou&lt;/strong&gt;, &lt;strong&gt;Nicoleta Serban&lt;/strong&gt;, &lt;strong&gt;Nagi Gebraeel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562734"&gt;Degradation modeling applied to residual lifetime prediction using functional data analysis&lt;/a&gt;. 1586--1610.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Björn Bornkamp&lt;/strong&gt;, &lt;strong&gt;Frank Bretz&lt;/strong&gt;, &lt;strong&gt;Holger Dette&lt;/strong&gt;, &lt;strong&gt;José Pinheiro&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562735"&gt;Response-adaptive dose-finding under model uncertainty&lt;/a&gt;. 1611--1631.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Eric Gautier&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562736"&gt;Hierarchical Bayesian estimation of inequality measures with nonrectangular censored survey data with an application to wealth distribution of French households&lt;/a&gt;. 1632--1656.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jo Bovy&lt;/strong&gt;, &lt;strong&gt;David W. Hogg&lt;/strong&gt;, &lt;strong&gt;Sam T. Roweis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562737"&gt;Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations&lt;/a&gt;. 1657--1677.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qingzhao Yu&lt;/strong&gt;, &lt;strong&gt;Steven N. MacEachern&lt;/strong&gt;, &lt;strong&gt;Mario Peruggia&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562738"&gt;Bayesian Synthesis: Combining subjective analyses, with an application to ozone data&lt;/a&gt;. 1678--1698.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1310562712_Wed, 13 Jul 2011 09:13 EDT</guid><pubDate>Wed, 13 Jul 2011 09:13 EDT</pubDate></item><item><title>Updated: The Annals of Applied Statistics, Volume 5, Number 2B (2011)</title><link>http://projecteuclid.org/euclid.aoas/1310562712</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Karen Kafadar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562715"&gt;Special section on statistics in neuroscience&lt;/a&gt;. 1127--1131.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xiaoyan Shi&lt;/strong&gt;, &lt;strong&gt;Joseph G. Ibrahim&lt;/strong&gt;, &lt;strong&gt;Jeffrey Lieberman&lt;/strong&gt;, &lt;strong&gt;Martin Styner&lt;/strong&gt;, &lt;strong&gt;Yimei Li&lt;/strong&gt;, &lt;strong&gt;Hongtu Zhu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562716"&gt;Two-stage empirical likelihood for longitudinal neuroimaging data&lt;/a&gt;. 1132--1158.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Vincent Q. Vu&lt;/strong&gt;, &lt;strong&gt;Pradeep Ravikumar&lt;/strong&gt;, &lt;strong&gt;Thomas Naselaris&lt;/strong&gt;, &lt;strong&gt;Kendrick N. Kay&lt;/strong&gt;, &lt;strong&gt;Jack L. Gallant&lt;/strong&gt;, &lt;strong&gt;Bin Yu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562717"&gt;Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models&lt;/a&gt;. 1159--1182.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sourabh Bhattacharya&lt;/strong&gt;, &lt;strong&gt;Ranjan Maitra&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562718"&gt;A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments&lt;/a&gt;. 1183--1206.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Christopher J. Long&lt;/strong&gt;, &lt;strong&gt;Patrick L. Purdon&lt;/strong&gt;, &lt;strong&gt;Simona Temereanca&lt;/strong&gt;, &lt;strong&gt;Neil U. Desai&lt;/strong&gt;, &lt;strong&gt;Matti S. Hämäläinen&lt;/strong&gt;, &lt;strong&gt;Emery N. Brown&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562719"&gt;State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing&lt;/a&gt;. 1207--1228.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yuriy Mishchenko&lt;/strong&gt;, &lt;strong&gt;Joshua T. Vogelstein&lt;/strong&gt;, &lt;strong&gt;Liam Paninski&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562720"&gt;A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data&lt;/a&gt;. 1229--1261.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Robert E. Kass&lt;/strong&gt;, &lt;strong&gt;Ryan C. Kelly&lt;/strong&gt;, &lt;strong&gt;Wei-Liem Loh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562721"&gt;Assessment of synchrony in multiple neural spike trains using loglinear point process models&lt;/a&gt;. 1262--1292.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sofia C. Olhede&lt;/strong&gt;, &lt;strong&gt;Brandon Whitcher&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562722"&gt;Nonparametric tests of structure for high angular resolution diffusion imaging in Q -space&lt;/a&gt;. 1293--1327.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jenný Brynjarsdóttir&lt;/strong&gt;, &lt;strong&gt;L. Mark Berliner&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562723"&gt;Bayesian hierarchical modeling for temperature reconstruction from geothermal data&lt;/a&gt;. 1328--1359.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lorenzo Trippa&lt;/strong&gt;, &lt;strong&gt;Giovanni Parmigiani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562724"&gt;False discovery rates in somatic mutation studies of cancer&lt;/a&gt;. 1360--1378.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David S. Matteson&lt;/strong&gt;, &lt;strong&gt;Mathew W. McLean&lt;/strong&gt;, &lt;strong&gt;Dawn B. Woodard&lt;/strong&gt;, &lt;strong&gt;Shane G. Henderson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562725"&gt;Forecasting emergency medical service call arrival rates&lt;/a&gt;. 1379--1406.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nozer D. Singpurwalla&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562726"&gt;Network routing in a dynamic environment&lt;/a&gt;. 1407--1424.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrew C. Thomas&lt;/strong&gt;, &lt;strong&gt;Stephen E. Fienberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562727"&gt;Discussion of “Network routing in a dynamic environment”&lt;/a&gt;. 1425--1427.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Vishesh Karwa&lt;/strong&gt;, &lt;strong&gt;Aleksandra B. Slavković&lt;/strong&gt;, &lt;strong&gt;Eric T. Donnell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562728"&gt;Causal inference in transportation safety studies: Comparison of potential outcomes and causal diagrams&lt;/a&gt;. 1428--1455.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Saijuan Zhang&lt;/strong&gt;, &lt;strong&gt;Douglas Midthune&lt;/strong&gt;, &lt;strong&gt;Patricia M. Guenther&lt;/strong&gt;, &lt;strong&gt;Susan M. Krebs-Smith&lt;/strong&gt;, &lt;strong&gt;Victor Kipnis&lt;/strong&gt;, &lt;strong&gt;Kevin W. Dodd&lt;/strong&gt;, &lt;strong&gt;Dennis W. Buckman&lt;/strong&gt;, &lt;strong&gt;Janet A. Tooze&lt;/strong&gt;, &lt;strong&gt;Laurence Freedman&lt;/strong&gt;, &lt;strong&gt;Raymond J. Carroll&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562729"&gt;A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment&lt;/a&gt;. 1456--1487.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Leanna L. House&lt;/strong&gt;, &lt;strong&gt;Merlise A. Clyde&lt;/strong&gt;, &lt;strong&gt;Robert L. Wolpert&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562730"&gt;Bayesian nonparametric models for peak identification in MALDI-TOF mass spectroscopy&lt;/a&gt;. 1488--1511.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Irene Rocchetti&lt;/strong&gt;, &lt;strong&gt;John Bunge&lt;/strong&gt;, &lt;strong&gt;Dankmar Böhning&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562731"&gt;Population size estimation based upon ratios of recapture probabilities&lt;/a&gt;. 1512--1533.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;David Knowles&lt;/strong&gt;, &lt;strong&gt;Zoubin Ghahramani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562732"&gt;Nonparametric Bayesian sparse factor models with application to gene expression modeling&lt;/a&gt;. 1534--1552.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrea Tancredi&lt;/strong&gt;, &lt;strong&gt;Brunero Liseo&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562733"&gt;A hierarchical Bayesian approach to record linkage and population size problems&lt;/a&gt;. 1553--1585.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Rensheng R. Zhou&lt;/strong&gt;, &lt;strong&gt;Nicoleta Serban&lt;/strong&gt;, &lt;strong&gt;Nagi Gebraeel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562734"&gt;Degradation modeling applied to residual lifetime prediction using functional data analysis&lt;/a&gt;. 1586--1610.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Björn Bornkamp&lt;/strong&gt;, &lt;strong&gt;Frank Bretz&lt;/strong&gt;, &lt;strong&gt;Holger Dette&lt;/strong&gt;, &lt;strong&gt;José Pinheiro&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562735"&gt;Response-adaptive dose-finding under model uncertainty&lt;/a&gt;. 1611--1631.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Eric Gautier&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562736"&gt;Hierarchical Bayesian estimation of inequality measures with nonrectangular censored survey data with an application to wealth distribution of French households&lt;/a&gt;. 1632--1656.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jo Bovy&lt;/strong&gt;, &lt;strong&gt;David W. Hogg&lt;/strong&gt;, &lt;strong&gt;Sam T. Roweis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562737"&gt;Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations&lt;/a&gt;. 1657--1677.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qingzhao Yu&lt;/strong&gt;, &lt;strong&gt;Steven N. MacEachern&lt;/strong&gt;, &lt;strong&gt;Mario Peruggia&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1310562738"&gt;Bayesian Synthesis: Combining subjective analyses, with an application to ozone data&lt;/a&gt;. 1678--1698.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1310562712_Wed, 27 Jul 2011 09:37 EDT</guid><pubDate>Wed, 27 Jul 2011 09:37 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 5, Number 3 (2011)</title><link>http://projecteuclid.org/euclid.aoas/1318514279</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Juliette Blanchet&lt;/strong&gt;, &lt;strong&gt;Anthony C. Davison&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514282"&gt;Spatial modeling of extreme snow depth&lt;/a&gt;. 1699--1725.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Danny Pfeffermann&lt;/strong&gt;, &lt;strong&gt;Victoria Landsman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514283"&gt;Are private schools better than public schools? Appraisal for Ireland by methods for observational studies&lt;/a&gt;. 1726--1751.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qunhua Li&lt;/strong&gt;, &lt;strong&gt;James B. Brown&lt;/strong&gt;, &lt;strong&gt;Haiyan Huang&lt;/strong&gt;, &lt;strong&gt;Peter J. Bickel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514284"&gt;Measuring reproducibility of high-throughput experiments&lt;/a&gt;. 1752--1779.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yongtao Guan&lt;/strong&gt;, &lt;strong&gt;Matthew Stephens&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514285"&gt;Bayesian variable selection regression for genome-wide association studies and other large-scale problems&lt;/a&gt;. 1780--1815.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gail E. Potter&lt;/strong&gt;, &lt;strong&gt;Mark S. Handcock&lt;/strong&gt;, &lt;strong&gt;Ira M. Longini, Jr.&lt;/strong&gt;, &lt;strong&gt;M. Elizabeth Halloran&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514286"&gt;Estimating within-household contact networks from egocentric data&lt;/a&gt;. 1816--1838.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Deepak Agarwal&lt;/strong&gt;, &lt;strong&gt;Liang Zhang&lt;/strong&gt;, &lt;strong&gt;Rahul Mazumder&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514287"&gt;Modeling item–item similarities for personalized recommendations on Yahoo! front page&lt;/a&gt;. 1839--1875.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Corwin M. Zigler&lt;/strong&gt;, &lt;strong&gt;Thomas R. Belin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514288"&gt;The potential for bias in principal causal effect estimation when treatment received depends on a key covariate&lt;/a&gt;. 1876--1892.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yuriy Mishchenko&lt;/strong&gt;, &lt;strong&gt;Liam Paninski&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514289"&gt;Efficient methods for sampling spike trains in networks of coupled neurons&lt;/a&gt;. 1893--1919.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;O. Stenzel&lt;/strong&gt;, &lt;strong&gt;H. Hassfeld&lt;/strong&gt;, &lt;strong&gt;R. Thiedmann&lt;/strong&gt;, &lt;strong&gt;L. J. A. Koster&lt;/strong&gt;, &lt;strong&gt;S. D. Oosterhout&lt;/strong&gt;, &lt;strong&gt;S. S. van Bavel&lt;/strong&gt;, &lt;strong&gt;M. M. Wienk&lt;/strong&gt;, &lt;strong&gt;J. Loos&lt;/strong&gt;, &lt;strong&gt;R. A. J. Janssen&lt;/strong&gt;, &lt;strong&gt;V. Schmidt&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514290"&gt;Spatial modeling of the 3D morphology of hybrid polymer-ZnO solar cells, based on electron tomography data&lt;/a&gt;. 1920--1947.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sabyasachi Mukhopadhyay&lt;/strong&gt;, &lt;strong&gt;Sourabh Bhattacharya&lt;/strong&gt;, &lt;strong&gt;Kajal Dihidar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514291"&gt;On Bayesian “central clustering”: Application to landscape classification of Western Ghats&lt;/a&gt;. 1948--1977.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Francesco C. Stingo&lt;/strong&gt;, &lt;strong&gt;Yian A. Chen&lt;/strong&gt;, &lt;strong&gt;Mahlet G. Tadesse&lt;/strong&gt;, &lt;strong&gt;Marina Vannucci&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514292"&gt;Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes&lt;/a&gt;. 1978--2002.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qi Long&lt;/strong&gt;, &lt;strong&gt;Matthias Chung&lt;/strong&gt;, &lt;strong&gt;Carlos S. Moreno&lt;/strong&gt;, &lt;strong&gt;Brent A. Johnson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514293"&gt;Risk prediction for prostate cancer recurrence through regularized estimation with simultaneous adjustment for nonlinear clinical effects&lt;/a&gt;. 2003--2023.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nicoleta Serban&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514294"&gt;A space–time varying coefficient model: The equity of service accessibility&lt;/a&gt;. 2024--2051.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yu Zhang&lt;/strong&gt;, &lt;strong&gt;Jing Zhang&lt;/strong&gt;, &lt;strong&gt;Jun S. Liu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514295"&gt;Block-based Bayesian epistasis association mapping with application to WTCCC type 1 diabetes data&lt;/a&gt;. 2052--2077.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Debashis Paul&lt;/strong&gt;, &lt;strong&gt;Jie Peng&lt;/strong&gt;, &lt;strong&gt;Prabir Burman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514296"&gt;Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth&lt;/a&gt;. 2078--2108.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Zeny Feng&lt;/strong&gt;, &lt;strong&gt;William W. L. Wong&lt;/strong&gt;, &lt;strong&gt;Xin Gao&lt;/strong&gt;, &lt;strong&gt;Flavio Schenkel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514297"&gt;Generalized genetic association study with samples of related individuals&lt;/a&gt;. 2109--2130.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Charlotte Soneson&lt;/strong&gt;, &lt;strong&gt;Magnus Fontes&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514298"&gt;A method for visual identification of small sample subgroups and potential biomarkers&lt;/a&gt;. 2131--2149.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Miguel A. Martinez-Beneito&lt;/strong&gt;, &lt;strong&gt;Gonzalo García-Donato&lt;/strong&gt;, &lt;strong&gt;Diego Salmerón&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514299"&gt;A Bayesian Joinpoint regression model with an unknown number of break-points&lt;/a&gt;. 2150--2168.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniel Samarov&lt;/strong&gt;, &lt;strong&gt;J. S. Marron&lt;/strong&gt;, &lt;strong&gt;Yufeng Liu&lt;/strong&gt;, &lt;strong&gt;Christopher Grulke&lt;/strong&gt;, &lt;strong&gt;Alexander Tropsha&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514300"&gt;Local kernel canonical correlation analysis with application to virtual drug screening&lt;/a&gt;. 2169--2196.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Georg M. Goerg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514301"&gt;Lambert W random variables—a new family of generalized skewed distributions with applications to risk estimation&lt;/a&gt;. 2197--2230.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Thomas Kitching&lt;/strong&gt;, &lt;strong&gt;Adam Amara&lt;/strong&gt;, &lt;strong&gt;Mandeep Gill&lt;/strong&gt;, &lt;strong&gt;Stefan Harmeling&lt;/strong&gt;, &lt;strong&gt;Catherine Heymans&lt;/strong&gt;, &lt;strong&gt;Richard Massey&lt;/strong&gt;, &lt;strong&gt;Barnaby Rowe&lt;/strong&gt;, &lt;strong&gt;Tim Schrabback&lt;/strong&gt;, &lt;strong&gt;Lisa Voigt&lt;/strong&gt;, &lt;strong&gt;Sreekumar Balan&lt;/strong&gt;, &lt;strong&gt;Gary Bernstein&lt;/strong&gt;, &lt;strong&gt;Matthias Bethge&lt;/strong&gt;, &lt;strong&gt;Sarah Bridle&lt;/strong&gt;, &lt;strong&gt;Frederic Courbin&lt;/strong&gt;, &lt;strong&gt;Marc Gentile&lt;/strong&gt;, &lt;strong&gt;Alan Heavens&lt;/strong&gt;, &lt;strong&gt;Michael Hirsch&lt;/strong&gt;, &lt;strong&gt;Reshad Hosseini&lt;/strong&gt;, &lt;strong&gt;Alina Kiessling&lt;/strong&gt;, &lt;strong&gt;Donnacha Kirk&lt;/strong&gt;, &lt;strong&gt;Konrad Kuijken&lt;/strong&gt;, &lt;strong&gt;Rachel Mandelbaum&lt;/strong&gt;, &lt;strong&gt;Baback Moghaddam&lt;/strong&gt;, &lt;strong&gt;Guldariya Nurbaeva&lt;/strong&gt;, &lt;strong&gt;Stephane Paulin-Henriksson&lt;/strong&gt;, &lt;strong&gt;Anais Rassat&lt;/strong&gt;, &lt;strong&gt;Jason Rhodes&lt;/strong&gt;, &lt;strong&gt;Bernhard Schölkopf&lt;/strong&gt;, &lt;strong&gt;John Shawe-Taylor&lt;/strong&gt;, &lt;strong&gt;Marina Shmakova&lt;/strong&gt;, &lt;strong&gt;Andy Taylor&lt;/strong&gt;, &lt;strong&gt;Malin Velander&lt;/strong&gt;, &lt;strong&gt;Ludovic van Waerbeke&lt;/strong&gt;, &lt;strong&gt;Dugan Witherick&lt;/strong&gt;, &lt;strong&gt;David Wittman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1318514302"&gt;Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook&lt;/a&gt;. 2231--2263.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1318514279_Thu, 13 Oct 2011 09:59 EDT</guid><pubDate>Thu, 13 Oct 2011 09:59 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 5, Number 4 (2011)</title><link>http://projecteuclid.org/euclid.aoas/1324399590</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Karen Kafadar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399593"&gt;Special section on modern multivariate analysis&lt;/a&gt;. 2265--2265.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Omar De la Cruz&lt;/strong&gt;, &lt;strong&gt;Susan Holmes&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399594"&gt;The duality diagram in data analysis: Examples of modern applications&lt;/a&gt;. 2266--2277.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stéphane Dray&lt;/strong&gt;, &lt;strong&gt;Thibaut Jombart&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399595"&gt;Revisiting Guerry’s data: Introducing spatial constraints in multivariate analysis&lt;/a&gt;. 2278--2299.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jean Thioulouse&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399596"&gt;Simultaneous analysis of a sequence of paired ecological tables: A comparison of several methods&lt;/a&gt;. 2300--2325.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Elizabeth Purdom&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399597"&gt;Analysis of a data matrix and a graph: Metagenomic data and the phylogenetic tree&lt;/a&gt;. 2326--2358.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stefano Conti&lt;/strong&gt;, &lt;strong&gt;Anne M. Presanis&lt;/strong&gt;, &lt;strong&gt;Maaike G. van Veen&lt;/strong&gt;, &lt;strong&gt;Maria Xiridou&lt;/strong&gt;, &lt;strong&gt;Martin C. Donoghoe&lt;/strong&gt;, &lt;strong&gt;Annemarie Rinder Stengaard&lt;/strong&gt;, &lt;strong&gt;Daniela De Angelis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399598"&gt;Modeling of the HIV infection epidemic in the Netherlands: A multi-parameter evidence synthesis approach&lt;/a&gt;. 2359--2384.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Luis Gutiérrez&lt;/strong&gt;, &lt;strong&gt;Fernando A. Quintana&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399599"&gt;Multivariate Bayesian semiparametric models for authentication of food and beverages&lt;/a&gt;. 2385--2402.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jacob Bien&lt;/strong&gt;, &lt;strong&gt;Robert Tibshirani&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399600"&gt;Prototype selection for interpretable classification&lt;/a&gt;. 2403--2424.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brian J. Reich&lt;/strong&gt;, &lt;strong&gt;Jo Eidsvik&lt;/strong&gt;, &lt;strong&gt;Michele Guindani&lt;/strong&gt;, &lt;strong&gt;Amy J. Nail&lt;/strong&gt;, &lt;strong&gt;Alexandra M. Schmidt&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399601"&gt;A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration&lt;/a&gt;. 2425--2447.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Adam R. Brentnall&lt;/strong&gt;, &lt;strong&gt;Stephen W. Duffy&lt;/strong&gt;, &lt;strong&gt;Martin J. Crowder&lt;/strong&gt;, &lt;strong&gt;Maureen G. C. Gillan&lt;/strong&gt;, &lt;strong&gt;Susan M. Astley&lt;/strong&gt;, &lt;strong&gt;Matthew G. Wallis&lt;/strong&gt;, &lt;strong&gt;Jonathan James&lt;/strong&gt;, &lt;strong&gt;Caroline R. M. Boggis&lt;/strong&gt;, &lt;strong&gt;Fiona J. Gilbert&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399602"&gt;A method for exploratory repeated-measures analysis applied to a breast-cancer screening study&lt;/a&gt;. 2448--2469.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Cari G. Kaufman&lt;/strong&gt;, &lt;strong&gt;Derek Bingham&lt;/strong&gt;, &lt;strong&gt;Salman Habib&lt;/strong&gt;, &lt;strong&gt;Katrin Heitmann&lt;/strong&gt;, &lt;strong&gt;Joshua A. Frieman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399603"&gt;Efficient emulators of computer experiments using compactly supported correlation functions, with an application to cosmology&lt;/a&gt;. 2470--2492.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniela M. Witten&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399604"&gt;Classification and clustering of sequencing data using a Poisson model&lt;/a&gt;. 2493--2518.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Huiyan Sang&lt;/strong&gt;, &lt;strong&gt;Mikyoung Jun&lt;/strong&gt;, &lt;strong&gt;Jianhua Z. Huang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399605"&gt;Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors&lt;/a&gt;. 2519--2548.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Robert Alan Clements&lt;/strong&gt;, &lt;strong&gt;Frederic Paik Schoenberg&lt;/strong&gt;, &lt;strong&gt;Danijel Schorlemmer&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399606"&gt;Residual analysis methods for space–time point processes with applications to earthquake forecast models in California&lt;/a&gt;. 2549--2571.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Victor M. Panaretos&lt;/strong&gt;, &lt;strong&gt;Kjell Konis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399607"&gt;Sparse approximations of protein structure from noisy random projections&lt;/a&gt;. 2572--2602.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Irina Czogiel&lt;/strong&gt;, &lt;strong&gt;Ian L. Dryden&lt;/strong&gt;, &lt;strong&gt;Christopher J. Brignell&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399608"&gt;Bayesian matching of unlabeled marked point sets using random fields, with an application to molecular alignment&lt;/a&gt;. 2603--2629.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jianxin Yin&lt;/strong&gt;, &lt;strong&gt;Hongzhe Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399609"&gt;A sparse conditional Gaussian graphical model for analysis of genetical genomics data&lt;/a&gt;. 2630--2650.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Enrique F. Schisterman&lt;/strong&gt;, &lt;strong&gt;Albert Vexler&lt;/strong&gt;, &lt;strong&gt;Aijun Ye&lt;/strong&gt;, &lt;strong&gt;Neil J. Perkins&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399610"&gt;A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity&lt;/a&gt;. 2651--2667.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hui Shen&lt;/strong&gt;, &lt;strong&gt;William J. Welch&lt;/strong&gt;, &lt;strong&gt;Jacqueline M. Hughes-Oliver&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1324399611"&gt;Efficient, adaptive cross-validation for tuning and comparing models, with application to drug discovery&lt;/a&gt;. 2668--2687.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1324399590_Tue, 20 Dec 2011 11:47 EST</guid><pubDate>Tue, 20 Dec 2011 11:47 EST</pubDate></item><item><title>The Annals of Applied Statistics, Volume 6, Number 1 (2012)</title><link>http://projecteuclid.org/euclid.aoas/1331043383</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gail E. Potter&lt;/strong&gt;, &lt;strong&gt;Mark S. Handcock&lt;/strong&gt;, &lt;strong&gt;Ira M. Longini&lt;/strong&gt;, &lt;strong&gt;M. Elizabeth Halloran&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043386"&gt;Estimating within-school contact networks to understand influenza transmission&lt;/a&gt;. 1--26.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Zhiwei Zhang&lt;/strong&gt;, &lt;strong&gt;Paul S. Albert&lt;/strong&gt;, &lt;strong&gt;Bruce Simons-Morton&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043387"&gt;Marginal analysis of longitudinal count data in long sequences: Methods and applications to a driving study&lt;/a&gt;. 27--54.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Edward I. George&lt;/strong&gt;, &lt;strong&gt;Sam K. Hui&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043388"&gt;Optimal pricing using online auction experiments: A Pólya tree approach&lt;/a&gt;. 55--82.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Paul R. Rosenbaum&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043389"&gt;An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer&lt;/a&gt;. 83--105.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Michael D. Porter&lt;/strong&gt;, &lt;strong&gt;Gentry White&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043390"&gt;Self-exciting hurdle models for terrorist activity&lt;/a&gt;. 106--124.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Stéphanie Allassonnière&lt;/strong&gt;, &lt;strong&gt;Laurent Younes&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043391"&gt;A stochastic algorithm for probabilistic independent component analysis&lt;/a&gt;. 125--160.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Nicholas G. Polson&lt;/strong&gt;, &lt;strong&gt;James G. Scott&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043392"&gt;Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors&lt;/a&gt;. 161--185.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Antonio Galves&lt;/strong&gt;, &lt;strong&gt;Charlotte Galves&lt;/strong&gt;, &lt;strong&gt;Jesús E. García&lt;/strong&gt;, &lt;strong&gt;Nancy L. Garcia&lt;/strong&gt;, &lt;strong&gt;Florencia Leonardi&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043393"&gt;Context tree selection and linguistic rhythm retrieval from written texts&lt;/a&gt;. 186--209.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lucio Barabesi&lt;/strong&gt;, &lt;strong&gt;Sara Franceschi&lt;/strong&gt;, &lt;strong&gt;Marzia Marcheselli&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043394"&gt;Properties of design-based estimation under stratified spatial sampling with application to canopy coverage estimation&lt;/a&gt;. 210--228.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hao Wang&lt;/strong&gt;, &lt;strong&gt;Jerome P. Reiter&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043395"&gt;Multiple imputation for sharing precise geographies in public use data&lt;/a&gt;. 229--252.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ronny Luss&lt;/strong&gt;, &lt;strong&gt;Saharon Rosset&lt;/strong&gt;, &lt;strong&gt;Moni Shahar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043396"&gt;Efficient regularized isotonic regression with application to gene–gene interaction search&lt;/a&gt;. 253--283.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hedibert F. Lopes&lt;/strong&gt;, &lt;strong&gt;Alexandra M. Schmidt&lt;/strong&gt;, &lt;strong&gt;Esther Salazar&lt;/strong&gt;, &lt;strong&gt;Mariana Gómez&lt;/strong&gt;, &lt;strong&gt;Marcel Achkar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043397"&gt;Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models&lt;/a&gt;. 284--303.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrea Riebler&lt;/strong&gt;, &lt;strong&gt;Leonhard Held&lt;/strong&gt;, &lt;strong&gt;Håvard Rue&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043398"&gt;Estimation and extrapolation of time trends in registry data—Borrowing strength from related populations&lt;/a&gt;. 304--333.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peng Wei&lt;/strong&gt;, &lt;strong&gt;Wei Pan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043399"&gt;Bayesian joint modeling of multiple gene networks and diverse genomic data to identify target genes of a transcription factor&lt;/a&gt;. 334--355.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Chung-Hsing Chen&lt;/strong&gt;, &lt;strong&gt;Wen-Chi Su&lt;/strong&gt;, &lt;strong&gt;Chih-Yu Chen&lt;/strong&gt;, &lt;strong&gt;Jing-Ying Huang&lt;/strong&gt;, &lt;strong&gt;Fang-Yu Tsai&lt;/strong&gt;, &lt;strong&gt;Wen-Chang Wang&lt;/strong&gt;, &lt;strong&gt;Chao A. Hsiung&lt;/strong&gt;, &lt;strong&gt;King-Song Jeng&lt;/strong&gt;, &lt;strong&gt;I-Shou Chang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043400"&gt;A Bayesian measurement error model for two-channel cell-based RNAi data with replicates&lt;/a&gt;. 356--382.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Joseph W. Richards&lt;/strong&gt;, &lt;strong&gt;Ann B. Lee&lt;/strong&gt;, &lt;strong&gt;Chad M. Schafer&lt;/strong&gt;, &lt;strong&gt;Peter E. Freeman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043401"&gt;Prototype selection for parameter estimation in complex models&lt;/a&gt;. 383--408.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ying Wei&lt;/strong&gt;, &lt;strong&gt;Zhibiao Zhao&lt;/strong&gt;, &lt;strong&gt;Dennis K. J. Lin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1331043402"&gt;Profile control charts based on nonparametric L -1 regression methods&lt;/a&gt;. 409--427.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1331043383_Tue, 06 Mar 2012 09:17 EST</guid><pubDate>Tue, 06 Mar 2012 09:17 EST</pubDate></item><item><title>The Annals of Applied Statistics, Volume 6, Number 2 (2012)</title><link>http://projecteuclid.org/euclid.aoas/1339419598</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Karen Kafadar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419601"&gt;Special section: Statistical methods for next-generation gene sequencing data&lt;/a&gt;. 429--431.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Zhen Li&lt;/strong&gt;, &lt;strong&gt;Vikneswaran Gopal&lt;/strong&gt;, &lt;strong&gt;Xiaobo Li&lt;/strong&gt;, &lt;strong&gt;John M. Davis&lt;/strong&gt;, &lt;strong&gt;George Casella&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419602"&gt;Simultaneous SNP identification in association studies with missing data&lt;/a&gt;. 432--456.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Baiyu Zhou&lt;/strong&gt;, &lt;strong&gt;Alice S. Whittemore&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419603"&gt;Improving sequence-based genotype calls with linkage disequilibrium and pedigree information&lt;/a&gt;. 457--475.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jeremy J. Shen&lt;/strong&gt;, &lt;strong&gt;Nancy R. Zhang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419604"&gt;Change-point model on nonhomogeneous Poisson processes with application in copy number profiling by next-generation DNA sequencing&lt;/a&gt;. 476--496.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xi Kathy Zhou&lt;/strong&gt;, &lt;strong&gt;Fei Liu&lt;/strong&gt;, &lt;strong&gt;Andrew J. Dannenberg&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419605"&gt;A Bayesian model averaging approach for observational gene expression studies&lt;/a&gt;. 497--520.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Loki Natarajan&lt;/strong&gt;, &lt;strong&gt;Minya Pu&lt;/strong&gt;, &lt;strong&gt;Karen Messer&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419606"&gt;Statistical tests for the intersection of independent lists of genes: Sensitivity, FDR, and type I error control&lt;/a&gt;. 521--541.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Donatello Telesca&lt;/strong&gt;, &lt;strong&gt;Peter Müller&lt;/strong&gt;, &lt;strong&gt;Giovanni Parmigiani&lt;/strong&gt;, &lt;strong&gt;Ralph S. Freedman&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419607"&gt;Modeling dependent gene expression&lt;/a&gt;. 542--560.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Laurent Jacob&lt;/strong&gt;, &lt;strong&gt;Pierre Neuvial&lt;/strong&gt;, &lt;strong&gt;Sandrine Dudoit&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419608"&gt;More power via graph-structured tests for differential expression of gene networks&lt;/a&gt;. 561--600.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Chong Liu&lt;/strong&gt;, &lt;strong&gt;Surajit Ray&lt;/strong&gt;, &lt;strong&gt;Giles Hooker&lt;/strong&gt;, &lt;strong&gt;Mark Friedl&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419609"&gt;Functional factor analysis for periodic remote sensing data&lt;/a&gt;. 601--624.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brian M. Hartman&lt;/strong&gt;, &lt;strong&gt;Bani K. Mallick&lt;/strong&gt;, &lt;strong&gt;Debabrata Talukdar&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419610"&gt;Investigating international new product diffusion speed: A semiparametric approach&lt;/a&gt;. 625--651.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tyler H. McCormick&lt;/strong&gt;, &lt;strong&gt;Cynthia Rudin&lt;/strong&gt;, &lt;strong&gt;David Madigan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419611"&gt;Bayesian hierarchical rule modeling for predicting medical conditions&lt;/a&gt;. 652--668.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Oleksandr Gromenko&lt;/strong&gt;, &lt;strong&gt;Piotr Kokoszka&lt;/strong&gt;, &lt;strong&gt;Lie Zhu&lt;/strong&gt;, &lt;strong&gt;Jan Sojka&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419612"&gt;Estimation and testing for spatially indexed curves with application to ionospheric and magnetic field trends&lt;/a&gt;. 669--696.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yu Ryan Yue&lt;/strong&gt;, &lt;strong&gt;Martin A. Lindquist&lt;/strong&gt;, &lt;strong&gt;Ji Meng Loh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419613"&gt;Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression&lt;/a&gt;. 697--718.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xi Chen&lt;/strong&gt;, &lt;strong&gt;Qihang Lin&lt;/strong&gt;, &lt;strong&gt;Seyoung Kim&lt;/strong&gt;, &lt;strong&gt;Jaime G. Carbonell&lt;/strong&gt;, &lt;strong&gt;Eric P. Xing&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419614"&gt;Smoothing proximal gradient method for general structured sparse regression&lt;/a&gt;. 719--752.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Guangyu Zhang&lt;/strong&gt;, &lt;strong&gt;Ying Yuan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419615"&gt;Bayesian modeling longitudinal dyadic data with nonignorable dropout, with application to a breast cancer study&lt;/a&gt;. 753--771.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Polly Phipps&lt;/strong&gt;, &lt;strong&gt;Daniell Toth&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419616"&gt;Analyzing establishment nonresponse using an interpretable regression tree model with linked administrative data&lt;/a&gt;. 772--794.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Julien Chiquet&lt;/strong&gt;, &lt;strong&gt;Yves Grandvalet&lt;/strong&gt;, &lt;strong&gt;Camille Charbonnier&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1339419617"&gt;Sparsity with sign-coherent groups of variables via the cooperative-Lasso&lt;/a&gt;. 795--830.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1339419598_20120611090027</guid><pubDate>Mon, 11 Jun 2012 09:00 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 6, Number 3 (2012)</title><link>http://projecteuclid.org/euclid.aoas/1346418561</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Peter G. M. van der Heijden&lt;/strong&gt;, &lt;strong&gt;Joe Whittaker&lt;/strong&gt;, &lt;strong&gt;Maarten Cruyff&lt;/strong&gt;, &lt;strong&gt;Bart Bakker&lt;/strong&gt;, &lt;strong&gt;Rik van der Vliet&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418564"&gt;People born in the Middle East but residing in the Netherlands: Invariant population size estimates and the role of active and passive covariates&lt;/a&gt;. 831--852.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kanti V. Mardia&lt;/strong&gt;, &lt;strong&gt;Emma M. Petty&lt;/strong&gt;, &lt;strong&gt;Charles C. Taylor&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418565"&gt;Matching markers and unlabeled configurations in protein gels&lt;/a&gt;. 853--869.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Spencer Hays&lt;/strong&gt;, &lt;strong&gt;Haipeng Shen&lt;/strong&gt;, &lt;strong&gt;Jianhua Z. Huang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418566"&gt;Functional dynamic factor models with application to yield curve forecasting&lt;/a&gt;. 870--894.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Art B. Owen&lt;/strong&gt;, &lt;strong&gt;Dean Eckles&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418567"&gt;Bootstrapping data arrays of arbitrary order&lt;/a&gt;. 895--927.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Juli Atherton&lt;/strong&gt;, &lt;strong&gt;Nathan Boley&lt;/strong&gt;, &lt;strong&gt;Ben Brown&lt;/strong&gt;, &lt;strong&gt;Nobuo Ogawa&lt;/strong&gt;, &lt;strong&gt;Stuart M. Davidson&lt;/strong&gt;, &lt;strong&gt;Michael B. Eisen&lt;/strong&gt;, &lt;strong&gt;Mark D. Biggin&lt;/strong&gt;, &lt;strong&gt;Peter Bickel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418568"&gt;A model for sequential evolution of ligands by exponential enrichment (SELEX) data&lt;/a&gt;. 928--949.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Chao Du&lt;/strong&gt;, &lt;strong&gt;S. C. Kou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418569"&gt;Correlation analysis of enzymatic reaction of a single protein molecule&lt;/a&gt;. 950--976.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Antoine Chambaz&lt;/strong&gt;, &lt;strong&gt;Christophe Denis&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418570"&gt;Classification in postural style&lt;/a&gt;. 977--993.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bryony J. Hill&lt;/strong&gt;, &lt;strong&gt;Wilfrid S. Kendall&lt;/strong&gt;, &lt;strong&gt;Elke Thönnes&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418571"&gt;Fibre-generated point processes and fields of orientations&lt;/a&gt;. 994--1020.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tian Siva Tian&lt;/strong&gt;, &lt;strong&gt;Jianhua Z. Huang&lt;/strong&gt;, &lt;strong&gt;Haipeng Shen&lt;/strong&gt;, &lt;strong&gt;Zhimin Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418572"&gt;A two-way regularization method for MEG source reconstruction&lt;/a&gt;. 1021--1046.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Omkar Muralidharan&lt;/strong&gt;, &lt;strong&gt;Georges Natsoulis&lt;/strong&gt;, &lt;strong&gt;John Bell&lt;/strong&gt;, &lt;strong&gt;Hanlee Ji&lt;/strong&gt;, &lt;strong&gt;Nancy R. Zhang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418573"&gt;Detecting mutations in mixed sample sequencing data using empirical Bayes&lt;/a&gt;. 1047--1067.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Natallia Katenka&lt;/strong&gt;, &lt;strong&gt;Eric D. Kolaczyk&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418574"&gt;Inference and characterization of multi-attribute networks with application to computational biology&lt;/a&gt;. 1068--1094.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Seyoung Kim&lt;/strong&gt;, &lt;strong&gt;Eric P. Xing&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418575"&gt;Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping&lt;/a&gt;. 1095--1117.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Steven P. Lund&lt;/strong&gt;, &lt;strong&gt;Dan Nettleton&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418576"&gt;The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data&lt;/a&gt;. 1118--1133.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Shaoyu Li&lt;/strong&gt;, &lt;strong&gt;Yuehua Cui&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418577"&gt;Gene-centric gene–gene interaction: A model-based kernel machine method&lt;/a&gt;. 1134--1161.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yong Wang&lt;/strong&gt;, &lt;strong&gt;Ilze Ziedins&lt;/strong&gt;, &lt;strong&gt;Mark Holmes&lt;/strong&gt;, &lt;strong&gt;Neil Challands&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418578"&gt;Tree models for difference and change detection in a complex environment&lt;/a&gt;. 1162--1184.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Anastasia Voulgaraki&lt;/strong&gt;, &lt;strong&gt;Benjamin Kedem&lt;/strong&gt;, &lt;strong&gt;Barry I. Graubard&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418579"&gt;Semiparametric regression in testicular germ cell data&lt;/a&gt;. 1185--1208.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Chris. J. Oates&lt;/strong&gt;, &lt;strong&gt;Sach Mukherjee&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418580"&gt;Network inference and biological dynamics&lt;/a&gt;. 1209--1235.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hai Liu&lt;/strong&gt;, &lt;strong&gt;Shuangge Ma&lt;/strong&gt;, &lt;strong&gt;Richard Kronmal&lt;/strong&gt;, &lt;strong&gt;Kung-Sik Chan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418581"&gt;Semiparametric zero-inflated modeling in multi-ethnic study of atherosclerosis (MESA)&lt;/a&gt;. 1236--1255.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ying Hung&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418582"&gt;Order selection in nonlinear time series models with application to the study of cell memory&lt;/a&gt;. 1256--1279.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Donghui Yan&lt;/strong&gt;, &lt;strong&gt;Pei Wang&lt;/strong&gt;, &lt;strong&gt;Michael Linden&lt;/strong&gt;, &lt;strong&gt;Beatrice Knudsen&lt;/strong&gt;, &lt;strong&gt;Timothy Randolph&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418583"&gt;Statistical methods for tissue array images—algorithmic scoring and co-training&lt;/a&gt;. 1280--1305.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yue S. Niu&lt;/strong&gt;, &lt;strong&gt;Heping Zhang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418584"&gt;The screening and ranking algorithm to detect DNA copy number variations&lt;/a&gt;. 1306--1326.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Matthias Kormaksson&lt;/strong&gt;, &lt;strong&gt;James G. Booth&lt;/strong&gt;, &lt;strong&gt;Maria E. Figueroa&lt;/strong&gt;, &lt;strong&gt;Ari Melnick&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1346418585"&gt;Integrative Model-based clustering of microarray methylation and expression data&lt;/a&gt;. 1327--1347.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1346418561_20120831091019</guid><pubDate>Fri, 31 Aug 2012 09:10 EDT</pubDate></item><item><title>The Annals of Applied Statistics, Volume 6, Number 4 (2012)</title><link>http://projecteuclid.org/euclid.aoas/1356629039</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tilmann Gneiting&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629042"&gt;Section on the special year for mathematics of planet earth (MPE 2013)&lt;/a&gt;. 1349--1351.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrew W. Baggaley&lt;/strong&gt;, &lt;strong&gt;Richard J. Boys&lt;/strong&gt;, &lt;strong&gt;Andrew Golightly&lt;/strong&gt;, &lt;strong&gt;Graeme R. Sarson&lt;/strong&gt;, &lt;strong&gt;Anvar Shukurov&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629043"&gt;Inference for population dynamics in the Neolithic period&lt;/a&gt;. 1352--1376.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Panu Erästö&lt;/strong&gt;, &lt;strong&gt;Lasse Holmström&lt;/strong&gt;, &lt;strong&gt;Atte Korhola&lt;/strong&gt;, &lt;strong&gt;Jan Weckström&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629044"&gt;Finding a consensus on credible features among several paleoclimate reconstructions&lt;/a&gt;. 1377--1405.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniel Cooley&lt;/strong&gt;, &lt;strong&gt;Richard A. Davis&lt;/strong&gt;, &lt;strong&gt;Philippe Naveau&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629045"&gt;Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data&lt;/a&gt;. 1406--1429.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brian J. Reich&lt;/strong&gt;, &lt;strong&gt;Benjamin A. Shaby&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629046"&gt;A hierarchical max-stable spatial model for extreme precipitation&lt;/a&gt;. 1430--1451.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Fabio Sigrist&lt;/strong&gt;, &lt;strong&gt;Hans R. Künsch&lt;/strong&gt;, &lt;strong&gt;Werner A. Stahel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629047"&gt;A dynamic nonstationary spatio-temporal model for short term prediction of precipitation&lt;/a&gt;. 1452--1477.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Giovanna Jona-Lasinio&lt;/strong&gt;, &lt;strong&gt;Alan Gelfand&lt;/strong&gt;, &lt;strong&gt;Mattia Jona-Lasinio&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629048"&gt;Spatial analysis of wave direction data using wrapped Gaussian processes&lt;/a&gt;. 1478--1498.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Janine B. Illian&lt;/strong&gt;, &lt;strong&gt;Sigrunn H. Sørbye&lt;/strong&gt;, &lt;strong&gt;Håvard Rue&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629049"&gt;A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)&lt;/a&gt;. 1499--1530.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Trond Reitan&lt;/strong&gt;, &lt;strong&gt;Tore Schweder&lt;/strong&gt;, &lt;strong&gt;Jorijntje Henderiks&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629050"&gt;Phenotypic evolution studied by layered stochastic differential equations&lt;/a&gt;. 1531--1551.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;S. N. Lahiri&lt;/strong&gt;, &lt;strong&gt;C. Spiegelman&lt;/strong&gt;, &lt;strong&gt;J. Appiah&lt;/strong&gt;, &lt;strong&gt;L. Rilett&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629051"&gt;Gap bootstrap methods for massive data sets with an application to transportation engineering&lt;/a&gt;. 1552--1587.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jeng-Min Chiou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629052"&gt;Dynamical functional prediction and classification, with application to traffic flow prediction&lt;/a&gt;. 1588--1614.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gelila Tilahun&lt;/strong&gt;, &lt;strong&gt;Andrey Feuerverger&lt;/strong&gt;, &lt;strong&gt;Michael Gervers&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629053"&gt;Dating medieval English charters&lt;/a&gt;. 1615--1640.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Candemir Çiğşar&lt;/strong&gt;, &lt;strong&gt;Jerald F. Lawless&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629054"&gt;Assessing transient carryover effects in recurrent event processes, with application to chronic health conditions&lt;/a&gt;. 1641--1663.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yunting Sun&lt;/strong&gt;, &lt;strong&gt;Nancy R. Zhang&lt;/strong&gt;, &lt;strong&gt;Art B. Owen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629055"&gt;Multiple hypothesis testing adjusted for latent variables, with an application to the AGEMAP gene expression data&lt;/a&gt;. 1664--1688.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hao Wang&lt;/strong&gt;, &lt;strong&gt;Saul Shiffman&lt;/strong&gt;, &lt;strong&gt;Sandra D. Griffith&lt;/strong&gt;, &lt;strong&gt;Daniel F. Heitjan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629056"&gt;Truth and memory: Linking instantaneous and retrospective self-reported cigarette consumption&lt;/a&gt;. 1689--1706.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Trina Patel&lt;/strong&gt;, &lt;strong&gt;Donatello Telesca&lt;/strong&gt;, &lt;strong&gt;Saji George&lt;/strong&gt;, &lt;strong&gt;André E. Nel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629057"&gt;Toxicity profiling of engineered nanomaterials via multivariate dose-response surface modeling&lt;/a&gt;. 1707--1729.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Vural Aksakalli&lt;/strong&gt;, &lt;strong&gt;Elvan Ceyhan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629058"&gt;Optimal obstacle placement with disambiguations&lt;/a&gt;. 1730--1774.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qunhua Li&lt;/strong&gt;, &lt;strong&gt;Jimmy K. Eng&lt;/strong&gt;, &lt;strong&gt;Matthew Stephens&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629059"&gt;A likelihood-based scoring method for peptide identification using mass spectrometry&lt;/a&gt;. 1775--1794.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tyler H. McCormick&lt;/strong&gt;, &lt;strong&gt;Tian Zheng&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629060"&gt;Latent demographic profile estimation in hard-to-reach groups&lt;/a&gt;. 1795--1813.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Juned Siddique&lt;/strong&gt;, &lt;strong&gt;Ofer Harel&lt;/strong&gt;, &lt;strong&gt;Catherine M. Crespi&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629061"&gt;Addressing missing data mechanism uncertainty using multiple-model multiple imputation: Application to a longitudinal clinical trial&lt;/a&gt;. 1814--1837.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Shan Ba&lt;/strong&gt;, &lt;strong&gt;V. Roshan Joseph&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629062"&gt;Composite Gaussian process models for emulating expensive functions&lt;/a&gt;. 1838--1860.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hai Liu&lt;/strong&gt;, &lt;strong&gt;Wanzhu Tu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629063"&gt;A semiparametric regression model for paired longitudinal outcomes with application in childhood blood pressure development&lt;/a&gt;. 1861--1882.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;M. Filippone&lt;/strong&gt;, &lt;strong&gt;A. F. Marquand&lt;/strong&gt;, &lt;strong&gt;C. R. V. Blain&lt;/strong&gt;, &lt;strong&gt;S. C. R. Williams&lt;/strong&gt;, &lt;strong&gt;J. Mourão-Miranda&lt;/strong&gt;, &lt;strong&gt;M. Girolami&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629064"&gt;Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities&lt;/a&gt;. 1883--1905.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;John A. D. Aston&lt;/strong&gt;, &lt;strong&gt;Claudia Kirch&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629065"&gt;Evaluating stationarity via change-point alternatives with applications to fMRI data&lt;/a&gt;. 1906--1948.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Guido Masarotto&lt;/strong&gt;, &lt;strong&gt;Cristiano Varin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629066"&gt;The ranking lasso and its application to sport tournaments&lt;/a&gt;. 1949--1970.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bradley Efron&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629067"&gt;Bayesian inference and the parametric bootstrap&lt;/a&gt;. 1971--1997.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1356629039_20121227122457</guid><pubDate>Thu, 27 Dec 2012 12:24 EST</pubDate></item><item><title>Updated: The Annals of Applied Statistics, Volume 6, Number 4 (2012)</title><link>http://projecteuclid.org/euclid.aoas/1356629039</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tilmann Gneiting&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629042"&gt;Section on the special year for mathematics of
 planet earth (MPE 2013)&lt;/a&gt;. 1349--1351.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andrew W. Baggaley&lt;/strong&gt;, &lt;strong&gt;Richard J. Boys&lt;/strong&gt;, &lt;strong&gt;Andrew Golightly&lt;/strong&gt;, &lt;strong&gt;Graeme R. Sarson&lt;/strong&gt;, &lt;strong&gt;Anvar Shukurov&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629043"&gt;Inference for population dynamics in the
 Neolithic period&lt;/a&gt;. 1352--1376.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Panu Erästö&lt;/strong&gt;, &lt;strong&gt;Lasse Holmström&lt;/strong&gt;, &lt;strong&gt;Atte Korhola&lt;/strong&gt;, &lt;strong&gt;Jan Weckström&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629044"&gt;Finding a consensus on credible features among
 several paleoclimate reconstructions&lt;/a&gt;. 1377--1405.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Daniel Cooley&lt;/strong&gt;, &lt;strong&gt;Richard A. Davis&lt;/strong&gt;, &lt;strong&gt;Philippe Naveau&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629045"&gt;Approximating the conditional density given
 large observed values via a multivariate extremes framework, with
 application to environmental data&lt;/a&gt;. 1406--1429.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Brian J. Reich&lt;/strong&gt;, &lt;strong&gt;Benjamin A. Shaby&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629046"&gt;A hierarchical max-stable spatial model for
 extreme precipitation&lt;/a&gt;. 1430--1451.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Fabio Sigrist&lt;/strong&gt;, &lt;strong&gt;Hans R. Künsch&lt;/strong&gt;, &lt;strong&gt;Werner A. Stahel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629047"&gt;A dynamic nonstationary spatio-temporal model
 for short term prediction of precipitation&lt;/a&gt;. 1452--1477.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Giovanna Jona-Lasinio&lt;/strong&gt;, &lt;strong&gt;Alan Gelfand&lt;/strong&gt;, &lt;strong&gt;Mattia Jona-Lasinio&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629048"&gt;Spatial analysis of wave direction data using
 wrapped Gaussian processes&lt;/a&gt;. 1478--1498.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Janine B. Illian&lt;/strong&gt;, &lt;strong&gt;Sigrunn H. Sørbye&lt;/strong&gt;, &lt;strong&gt;Håvard Rue&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629049"&gt;A toolbox for fitting complex spatial point
 process models using integrated nested Laplace approximation
 (INLA)&lt;/a&gt;. 1499--1530.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Trond Reitan&lt;/strong&gt;, &lt;strong&gt;Tore Schweder&lt;/strong&gt;, &lt;strong&gt;Jorijntje Henderiks&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629050"&gt;Phenotypic evolution studied by layered
 stochastic differential equations&lt;/a&gt;. 1531--1551.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;S. N. Lahiri&lt;/strong&gt;, &lt;strong&gt;C. Spiegelman&lt;/strong&gt;, &lt;strong&gt;J. Appiah&lt;/strong&gt;, &lt;strong&gt;L. Rilett&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629051"&gt;Gap bootstrap methods for massive data sets
 with an application to transportation engineering&lt;/a&gt;. 1552--1587.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jeng-Min Chiou&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629052"&gt;Dynamical functional prediction and
 classification, with application to traffic flow prediction&lt;/a&gt;. 1588--1614.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Gelila Tilahun&lt;/strong&gt;, &lt;strong&gt;Andrey Feuerverger&lt;/strong&gt;, &lt;strong&gt;Michael Gervers&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629053"&gt;Dating medieval English charters&lt;/a&gt;. 1615--1640.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Candemir Çiğşar&lt;/strong&gt;, &lt;strong&gt;Jerald F. Lawless&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629054"&gt;Assessing transient carryover effects in
 recurrent event processes, with application to chronic health
 conditions&lt;/a&gt;. 1641--1663.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Yunting Sun&lt;/strong&gt;, &lt;strong&gt;Nancy R. Zhang&lt;/strong&gt;, &lt;strong&gt;Art B. Owen&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629055"&gt;Multiple hypothesis testing adjusted for latent
 variables, with an application to the AGEMAP gene expression
 data&lt;/a&gt;. 1664--1688.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hao Wang&lt;/strong&gt;, &lt;strong&gt;Saul Shiffman&lt;/strong&gt;, &lt;strong&gt;Sandra D. Griffith&lt;/strong&gt;, &lt;strong&gt;Daniel F. Heitjan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629056"&gt;Truth and memory: Linking instantaneous and
 retrospective self-reported cigarette consumption&lt;/a&gt;. 1689--1706.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Trina Patel&lt;/strong&gt;, &lt;strong&gt;Donatello Telesca&lt;/strong&gt;, &lt;strong&gt;Saji George&lt;/strong&gt;, &lt;strong&gt;André E. Nel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629057"&gt;Toxicity profiling of engineered nanomaterials
 via multivariate dose-response surface modeling&lt;/a&gt;. 1707--1729.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Vural Aksakalli&lt;/strong&gt;, &lt;strong&gt;Elvan Ceyhan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629058"&gt;Optimal obstacle placement with
 disambiguations&lt;/a&gt;. 1730--1774.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Qunhua Li&lt;/strong&gt;, &lt;strong&gt;Jimmy K. Eng&lt;/strong&gt;, &lt;strong&gt;Matthew Stephens&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629059"&gt;A likelihood-based scoring method for peptide
 identification using mass spectrometry&lt;/a&gt;. 1775--1794.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tyler H. McCormick&lt;/strong&gt;, &lt;strong&gt;Tian Zheng&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629060"&gt;Latent demographic profile estimation in
 hard-to-reach groups&lt;/a&gt;. 1795--1813.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Juned Siddique&lt;/strong&gt;, &lt;strong&gt;Ofer Harel&lt;/strong&gt;, &lt;strong&gt;Catherine M. Crespi&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629061"&gt;Addressing missing data mechanism uncertainty
 using multiple-model multiple imputation: Application to a
 longitudinal clinical trial&lt;/a&gt;. 1814--1837.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Shan Ba&lt;/strong&gt;, &lt;strong&gt;V. Roshan Joseph&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629062"&gt;Composite Gaussian process models for emulating
 expensive functions&lt;/a&gt;. 1838--1860.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hai Liu&lt;/strong&gt;, &lt;strong&gt;Wanzhu Tu&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629063"&gt;A semiparametric regression model for paired
 longitudinal outcomes with application in childhood blood pressure
 development&lt;/a&gt;. 1861--1882.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;M. Filippone&lt;/strong&gt;, &lt;strong&gt;A. F. Marquand&lt;/strong&gt;, &lt;strong&gt;C. R. V. Blain&lt;/strong&gt;, &lt;strong&gt;S. C. R. Williams&lt;/strong&gt;, &lt;strong&gt;J. Mourão-Miranda&lt;/strong&gt;, &lt;strong&gt;M. Girolami&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629064"&gt;Probabilistic prediction of neurological
 disorders with a statistical assessment of neuroimaging data
 modalities&lt;/a&gt;. 1883--1905.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;John A. D. Aston&lt;/strong&gt;, &lt;strong&gt;Claudia Kirch&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629065"&gt;Evaluating stationarity via change-point
 alternatives with applications to fMRI data&lt;/a&gt;. 1906--1948.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Guido Masarotto&lt;/strong&gt;, &lt;strong&gt;Cristiano Varin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629066"&gt;The ranking lasso and its application to sport
 tournaments&lt;/a&gt;. 1949--1970.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Bradley Efron&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1356629067"&gt;Bayesian inference and the parametric
 bootstrap&lt;/a&gt;. 1971--1997.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1356629039_20130130090627</guid><pubDate>Wed, 30 Jan 2013 09:06 EST</pubDate></item><item><title>The Annals of Applied Statistics, Volume 7, Number 1 (2013)</title><link>http://projecteuclid.org/euclid.aoas/1365527185</link><description>&lt;p&gt;Contents:&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Micha Mandel&lt;/strong&gt;, &lt;strong&gt;Manor Askenazi&lt;/strong&gt;, &lt;strong&gt;Yi Zhang&lt;/strong&gt;, &lt;strong&gt;Jarrod A. Marto&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527188"&gt;Variance function estimation in quantitative mass spectrometry with application to iTRAQ labeling&lt;/a&gt;. 1--24.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;José R. Zubizarreta&lt;/strong&gt;, &lt;strong&gt;Dylan S. Small&lt;/strong&gt;, &lt;strong&gt;Neera K. Goyal&lt;/strong&gt;, &lt;strong&gt;Scott Lorch&lt;/strong&gt;, &lt;strong&gt;Paul R. Rosenbaum&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527189"&gt;Stronger instruments via integer programming in an observational study of late preterm birth outcomes&lt;/a&gt;. 25--50.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Robert B. Gramacy&lt;/strong&gt;, &lt;strong&gt;Matt Taddy&lt;/strong&gt;, &lt;strong&gt;Stefan M. Wild&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527190"&gt;Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning&lt;/a&gt;. 51--80.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Francesco Finazzi&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527191"&gt;Geostatistical modeling in the presence of interaction between the measuring instruments, with an application to the estimation of spatial market potentials&lt;/a&gt;. 81--101.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ying Yuan&lt;/strong&gt;, &lt;strong&gt;Hongtu Zhu&lt;/strong&gt;, &lt;strong&gt;Martin Styner&lt;/strong&gt;, &lt;strong&gt;John H. Gilmore&lt;/strong&gt;, &lt;strong&gt;J. S. Marron&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527192"&gt;Varying coefficient model for modeling diffusion tensors along white matter tracts&lt;/a&gt;. 102--125.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Xiaojing Wang&lt;/strong&gt;, &lt;strong&gt;James O. Berger&lt;/strong&gt;, &lt;strong&gt;Donald S. Burdick&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527193"&gt;Bayesian analysis of dynamic item response models in educational testing&lt;/a&gt;. 126--153.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Harrison Quick&lt;/strong&gt;, &lt;strong&gt;Sudipto Banerjee&lt;/strong&gt;, &lt;strong&gt;Bradley P. Carlin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527194"&gt;Modeling temporal gradients in regionally aggregated California asthma hospitalization data&lt;/a&gt;. 154--176.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Arnošt Komárek&lt;/strong&gt;, &lt;strong&gt;Lenka Komárková&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527195"&gt;Clustering for multivariate continuous and discrete longitudinal data&lt;/a&gt;. 177--200.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Tao Yu&lt;/strong&gt;, &lt;strong&gt;Chunming Zhang&lt;/strong&gt;, &lt;strong&gt;Andrew L. Alexander&lt;/strong&gt;, &lt;strong&gt;Richard J. Davidson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527196"&gt;Local tests for identifying anisotropic diffusion areas in human brain with DTI&lt;/a&gt;. 201--225.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Andreas Alfons&lt;/strong&gt;, &lt;strong&gt;Christophe Croux&lt;/strong&gt;, &lt;strong&gt;Sarah Gelper&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527197"&gt;Sparse least trimmed squares regression for analyzing high-dimensional large data sets&lt;/a&gt;. 226--248.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jingyuan Yang&lt;/strong&gt;, &lt;strong&gt;Shili Lin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527198"&gt;Robust partial likelihood approach for detecting imprinting and maternal effects using case-control families&lt;/a&gt;. 249--268.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Ronglai Shen&lt;/strong&gt;, &lt;strong&gt;Sijian Wang&lt;/strong&gt;, &lt;strong&gt;Qianxing Mo&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527199"&gt;Sparse integrative clustering of multiple omics data sets&lt;/a&gt;. 269--294.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Winston Lin&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527200"&gt;Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique&lt;/a&gt;. 295--318.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Debbie J. Dupuis&lt;/strong&gt;, &lt;strong&gt;Maria-Pia Victoria-Feser&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527201"&gt;Robust VIF regression with application to variable selection in large data sets&lt;/a&gt;. 319--341.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Minge Xie&lt;/strong&gt;, &lt;strong&gt;Regina Y. Liu&lt;/strong&gt;, &lt;strong&gt;C. V. Damaraju&lt;/strong&gt;, &lt;strong&gt;William H. Olson&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527202"&gt;Incorporating external information in analyses of clinical trials with binary outcomes&lt;/a&gt;. 342--368.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Matti Pirinen&lt;/strong&gt;, &lt;strong&gt;Peter Donnelly&lt;/strong&gt;, &lt;strong&gt;Chris C. A. Spencer&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527203"&gt;Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies&lt;/a&gt;. 369--390.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Shuang Li&lt;/strong&gt;, &lt;strong&gt;Li Hsu&lt;/strong&gt;, &lt;strong&gt;Jie Peng&lt;/strong&gt;, &lt;strong&gt;Pei Wang&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527204"&gt;Bootstrap inference for network construction with an application to a breast cancer microarray study&lt;/a&gt;. 391--417.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jun Chen&lt;/strong&gt;, &lt;strong&gt;Hongzhe Li&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527205"&gt;Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis&lt;/a&gt;. 418--442.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kosuke Imai&lt;/strong&gt;, &lt;strong&gt;Marc Ratkovic&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527206"&gt;Estimating treatment effect heterogeneity in randomized program evaluation&lt;/a&gt;. 443--470.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Armin Schwartzman&lt;/strong&gt;, &lt;strong&gt;Andrew Jaffe&lt;/strong&gt;, &lt;strong&gt;Yulia Gavrilov&lt;/strong&gt;, &lt;strong&gt;Clifford A. Meyer&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527207"&gt;Multiple testing of local maxima for detection of peaks in ChIP-Seq data&lt;/a&gt;. 471--494.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Wei-Yin Loh&lt;/strong&gt;, &lt;strong&gt;Wei Zheng&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527208"&gt;Regression trees for longitudinal and multiresponse data&lt;/a&gt;. 495--522.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Eric F. Lock&lt;/strong&gt;, &lt;strong&gt;Katherine A. Hoadley&lt;/strong&gt;, &lt;strong&gt;J. S. Marron&lt;/strong&gt;, &lt;strong&gt;Andrew B. Nobel&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527209"&gt;Joint and individual variation explained (JIVE) for integrated analysis of multiple data types&lt;/a&gt;. 523--542.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Jaeil Ahn&lt;/strong&gt;, &lt;strong&gt;Bhramar Mukherjee&lt;/strong&gt;, &lt;strong&gt;Stephen B. Gruber&lt;/strong&gt;, &lt;strong&gt;Malay Ghosh&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527210"&gt;Bayesian semiparametric analysis for two-phase studies of gene-environment interaction&lt;/a&gt;. 543--569.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Robert T. Krafty&lt;/strong&gt;, &lt;strong&gt;Martica Hall&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527211"&gt;Canonical correlation analysis between time series and static outcomes, with application to the spectral analysis of heart rate variability&lt;/a&gt;. 570--587.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;William Kleiber&lt;/strong&gt;, &lt;strong&gt;Richard W. Katz&lt;/strong&gt;, &lt;strong&gt;Balaji Rajagopalan&lt;/strong&gt;. &lt;a href="http://projecteuclid.org/euclid.aoas/1365527212"&gt;Daily minimum and maximum temperature simulation over complex terrain&lt;/a&gt;. 588--612.&lt;/p&gt;</description><guid isPermaLink="false">projecteuclid.org/euclid.aoas/1365527185_20130409130729</guid><pubDate>Tue, 09 Apr 2013 13:07 EDT</pubDate></item></channel>
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