Statistical Science (Project Euclid)

Statistical Science, Volume 22, Number 4 (2007)

Mon, 23 Jun 2008 11:28 EDT

Contents:

Peter Bühlmann, Torsten Hothorn. Boosting Algorithms: Regularization, Prediction and Model Fitting. 477--505.

Andreas Buja, David Mease, Abraham J. Wyner. Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting. 506--512.

Trevor Hastie. Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting. 513--515.

Peter Bühlmann, Torsten Hothorn. Rejoinder: Boosting Algorithms: Regularization, Prediction and Model Fitting. 516--522.

Joseph D. Y. Kang, Joseph L. Schafer. Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. 523--539.

Greg Ridgeway, Daniel F. McCaffrey. Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. 540--543.

James Robins, Mariela Sued, Quanhong Lei-Gomez, Andrea Rotnitzky. Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable. 544--559.

Zhiqiang Tan. Comment: Understanding OR, PS and DR. 560--568.

Anastasios A. Tsiatis, Marie Davidian. Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. 569--573.

Joseph D. Y. Kang, Joseph L. Schafer. Rejoinder: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. 574--580.

Peter J. Bickel, Chao Chen, Jaimyoung Kwon, John Rice, Erik van Zwet, Pravin Varaiya. Measuring Traffic. 581--597.

Stephen M. Stigler. The Epic Story of Maximum Likelihood. 598--620.

Ronald Christensen, Wesley Johnson. A Conversation with Seymour Geisser. 621--636.

Barry I. Graubard, Paul S. Levy, Gordon B. Willis. A Conversation with Monroe Sirken. 637--650.

Statistical Science, Volume 23, Number 1 (2008)

Mon, 07 Jul 2008 10:38 EDT

Contents:

Bradley Efron. Microarrays, Empirical Bayes and the Two-Groups Model. 1--22.

Yoav Benjamini. Comment: Microarrays, Empirical Bayes and the Two-Groups Model. 23--28.

T. Tony Cai. Comment: Microarrays, Empirical Bayes and the Two-Group Model. 29--33.

Carl N. Morris. Comment: Microarrays, Empirical Bayes and the Two-Groups Model. 34--40.

Kenneth Rice, David Spiegelhalter. Comment: Microarrays, Empirical Bayes and the Two-Groups Model. 41--44.

Bradley Efron. Rejoinder: Microarrays, Empirical Bayes and the Two-Groups Model. 45--47.

David R. Brillinger. The 2005 Neyman Lecture: Dynamic Indeterminism in Science. 48--64.

Hans R. Künsch. Comment: The 2005 Neyman Lecture: Dynamic Indeterminism in Science. 65--68.

Grace L. Yang. Comment: The 2005 Neyman Lecture: Dynamic Indeterminism in Science. 69--75.

David R. Brillinger. Rejoinder: The 2005 Neyman Lecture: Dynamic Indeterminism in Science. 76--77.

Gary King, Ying Lu. Verbal Autopsy Methods with Multiple Causes of Death. 78--91.

Mia Hubert, Peter J. Rousseeuw, Stefan Van Aelst. High-Breakdown Robust Multivariate Methods. 92--119.

Andreas Buja, Hans R. Künsch. A Conversation with Peter Huber. 120--135.

Stephen E. Fienberg. The Early Statistical Years: 1947–1967. A Conversation with Howard Raiffa. 136--149.

Statistical Science, Volume 23, Number 2 (2008)

Thu, 21 Aug 2008 13:19 EDT

Contents:

Persi Diaconis, Kshitij Khare, Laurent Saloff-Coste. Gibbs Sampling, Exponential Families and Orthogonal Polynomials. 151--178.

Patrizia Berti, Guido Consonni, Luca Pratelli, Pietro Rigo. Comment: Gibbs Sampling, Exponential Families and Orthogonal Polynomials. 179--182.

Galin L. Jones, Alicia A. Johnson. Comment: Gibbs Sampling, Exponential Families, and Orthogonal Polynomials. 183--186.

Gérard Letac. Comment: Lancaster Probabilities and Gibbs Sampling. 187--191.

Richard A. Levine, George Casella. Comment: On Random Scan Gibbs Samplers. 192--195.

Persi Diaconis, Kshitij Khare, Laurent Saloff-Coste. Rejoinder: Gibbs Sampling, Exponential Families and Orthogonal Polynomials. 196--200.

Geert Verbeke, Geert Molenberghs, Caroline Beunckens. Formal and Informal Model Selection with Incomplete Data. 201--218.

Ben B. Hansen, Jake Bowers. Covariate Balance in Simple, Stratified and Clustered Comparative Studies. 219--236.

David A. Freedman. Randomization Does Not Justify Logistic Regression. 237--249.

James M. Flegal, Murali Haran, Galin L. Jones. Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?. 250--260.

Stephen M. Stigler. Karl Pearson’s Theoretical Errors and the Advances They Inspired. 261--271.

Myles Hollander. A Conversation with Jayaram Sethuraman. 272--285.

Statistical Science, Volume 23, Number 3 (2009)

Wed, 28 Jan 2009 09:31 EST

Contents:

Dan L. Nicolae, Xiao-Li Meng, Augustine Kong. Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies. 287--312.

Hani Doss. Comment: Quantifying Information Loss in Survival Studies. 313--317.

I-Shou Chang, Chung-Hsing Chen, Li-Chu Chien, Chao A. Hsiung. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies. 318--320.

Tian Zheng, Shaw-Hwa Lo. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies. 321--324.

Dan L. Nicolae, Xiao-Li Meng, Augustine Kong. Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies. 325--331.

Guido Consonni, Piero Veronese. Compatibility of Prior Specifications Across Linear Models. 332--353.

A. C. Davison, N. Sartori. The Banff Challenge: Statistical Detection of a Noisy Signal. 354--364.

Ryan Martin, Jayanta K. Ghosh. Stochastic Approximation and Newton’s Estimate of a Mixing Distribution. 365--382.

Zhihua Zhang, Michael I. Jordan. Multiway Spectral Clustering: A Margin-Based Perspective. 383--403.

William F. Rosenberger, Oleksandr Sverdlov. Handling Covariates in the Design of Clinical Trials. 404--419.

Francisco J. Samaniego. A Conversation with Myles Hollander. 420--438.

Statistical Science, Volume 23, Number 4 (2008)

Mon, 11 May 2009 09:49 EDT

Contents:

Martin A. Lindquist. The Statistical Analysis of fMRI Data. 439--464.

Alessandra R. Brazzale, Anthony C. Davison. Accurate Parametric Inference for Small Samples. 465--484.

R. Dennis Cook, Liliana Forzani. Principal Fitted Components for Dimension Reduction in Regression. 485--501.

Michael Friendly. The Golden Age of Statistical Graphics. 502--535.

Nicholas I. Fisher, Willem R. van Zwet. Remembering Wassily Hoeffding. 536--547.

Malay Ghosh, Michael J. Schell. A Conversation with Pranab Kumar Sen. 548--564.

Statistical Science, Volume 24, Number 1 (2009)

Thu, 08 Oct 2009 09:37 EDT

Contents:

Robert Adler, John Ewing, Peter Taylor. Citation Statistics. 1--14.

Bernard W. Silverman. Comment: Bibliometrics in the Context of the UK Research Assessment Exercise. 15--16.

Sune Lehmann, Benny E. Lautrup, Andrew D. Jackson. Comment: Citation Statistics. 17--20.

David Spiegelhalter, Harvey Goldstein. Comment: Citation Statistics. 21--24.

Peter Gavin Hall. Comment: Citation Statistics. 25--26.

Robert Adler, John Ewing, Peter Taylor. Rejoinder: Citation Statistics. 27--28.

Kosuke Imai, Gary King, Clayton Nall. The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation. 29--53.

Jennifer Hill, Marc Scott. Comment: The Essential Role of Pair Matching. 54--58.

Kai Zhang, Dylan S. Small. Comment: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation. 59--64.

Kosuke Imai, Gary King, Clayton Nall. Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments. 65--72.

Vladimir Vovk. Superefficiency from the Vantage Point of Computability. 73--86.

R. J. Beran, N. I. Fisher. An Evening Spent with Bill van Zwet. 87--115.

David R. Brillinger, Richard A. Davis. A Conversation with Murray Rosenblatt. 116--140.

Statistical Science, Volume 24, Number 2 (2009)

Thu, 14 Jan 2010 09:14 EST

Contents:

Christian P. Robert, Nicolas Chopin, Judith Rousseau. Harold Jeffreys’s Theory of Probability Revisited. 141--172.

José M. Bernardo. Comment. 173--175.

Andrew Gelman. Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics. 176--178.

Robert Kass. Comment: The Importance of Jeffreys’s Legacy. 179--182.

Dennis Lindley. Comment. 183--184.

Stephen Senn. Comment. 185--186.

Arnold Zellner. Comment. 187--190.

Christian P. Robert, Nicolas Chopin, Judith Rousseau. Rejoinder: Harold Jeffreys’s Theory of Probability Revisited. 191--194.

Sander Greenland. Relaxation Penalties and Priors for Plausible Modeling of Nonidentified Bias Sources. 195--210.

Brenda F. Kurland, Laura L. Johnson, Brian L. Egleston, Paula H. Diehr. Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims. 211--222.

James G. Booth, Walter T. Federer, Martin T. Wells, Russell D. Wolfinger. A Multivariate Variance Components Model for Analysis of Covariance in Designed Experiments. 223--237.

Joseph B. Kadane. Bayesian Thought in Early Modern Detective Stories: Monsieur Lecoq, C. Auguste Dupin and Sherlock Holmes. 238--243.

Martin T. Wells. A Conversation with Shayle R. Searle. 244--254.

Statistical Science, Volume 24, Number 3 (2009)

Wed, 31 Mar 2010 09:15 EDT

Contents:

Youngjo Lee, John A. Nelder. Likelihood Inference for Models with Unobservables: Another View. 255--269.

Thomas A. Louis. Discussion of Likelihood Inference for Models with Unobservables: Another View. 270--272.

Geert Molenberghs, Michael G. Kenward, Geert Verbeke. Discussion of Likelihood Inference for Models with Unobservables: Another View. 273--279.

Xiao-Li Meng. Decoding the H-likelihood. 280--293.

Youngjo Lee, John A. Nelder. Rejoinder: Likelihood Inference for Models with Unobservables Another View. 294--302.

Bruce Lindsay, Jiawei Liu. Model Assessment Tools for a Model False World. 303--318.

Guenther Walther. Inference and Modeling with Log-concave Distributions. 319--327.

Paul Gustafson, Sander Greenland. Interval Estimation for Messy Observational Data. 328--342.

Joseph L. Gastwirth, Yulia R. Gel, Weiwen Miao. The Impact of Levene’s Test of Equality of Variances on Statistical Theory and Practice. 343--360.

Mark P. Becker. A Conversation with Leo Goodman. 361--385.

Statistical Science, Volume 25, Number 1 (2010)

Tue, 03 Aug 2010 09:23 EDT

Contents:

Elizabeth A. Stuart. Matching Methods for Causal Inference: A Review and a Look Forward. 1--21.

Vanessa Didelez, Sha Meng, Nuala A. Sheehan. Assumptions of IV Methods for Observational Epidemiology. 22--40.

Nell Sedransk, Linda J. Young, Katrina L. Kelner, Robert A. Moffitt, Ani Thakar, Jordan Raddick, Edward J. Ungvarsky, Richard W. Carlson, Rolf Apweiler, Lawrence H. Cox, Deborah Nolan, Keith Soper, Cliff Spiegelman. Make Research Data Public?—Not Always so Simple: A Dialogue for Statisticians and Science Editors. 41--50.

Kosuke Imai, Luke Keele, Teppei Yamamoto. Identification, Inference and Sensitivity Analysis for Causal Mediation Effects. 51--71.

Ryan Martin, Jianchun Zhang, Chuanhai Liu. Dempster–Shafer Theory and Statistical Inference with Weak Beliefs. 72--87.

Carlos M. Carvalho, Michael S. Johannes, Hedibert F. Lopes, Nicholas G. Polson. Particle Learning and Smoothing. 88--106.

Christopher J. Paciorek. The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators. 107--125.

Dennis Gilliland, R. V. Ramamoorthi. A Conversation with James Hannan. 126--144.

Statistical Science, Volume 25, Number 2 (2010)

Fri, 19 Nov 2010 09:11 EST

Contents:

Bradley Efron. The Future of Indirect Evidence. 145--157.

Sander Greenland. Comment: The Need for Syncretism in Applied Statistics. 158--161.

Andrew Gelman. Bayesian Statistics Then and Now. 162--165.

Robert E. Kass. Comment: How Should Indirect Evidence Be Used?. 166--169.

Bradley Efron. Rejoinder: The Future of Indirect Evidence. 170--171.

Chris Sherlock, Paul Fearnhead, Gareth O. Roberts. The Random Walk Metropolis: Linking Theory and Practice Through a Case Study. 172--190.

Ying Kuen Cheung. Stochastic Approximation and Modern Model-Based Designs for Dose-Finding Clinical Trials. 191--201.

John O’Quigley, Mark Conaway. Continual Reassessment and Related Dose-Finding Designs. 202--216.

Mourad Tighiouart, André Rogatko. Dose Finding with Escalation with Overdose Control (EWOC) in Cancer Clinical Trials. 217--226.

Peter F. Thall. Bayesian Models and Decision Algorithms for Complex Early Phase Clinical Trials. 227--244.

Jay Bartroff, Tze Leung Lai. Approximate Dynamic Programming and Its Applications to the Design of Phase I Cancer Trials. 245--257.

Christian Genest, Gordon Brackstone. A Conversation with Martin Bradbury Wilk. 258--273.

Statistical Science, Volume 25, Number 3 (2010)

Tue, 04 Jan 2011 14:07 EST

Contents:

David J. Aldous, Julian Shun. Connected Spatial Networks over Random Points and a Route-Length Statistic. 275--288.

Galit Shmueli. To Explain or to Predict?. 289--310.

Hua Zhou, Kenneth Lange, Marc A. Suchard. Graphics Processing Units and High-Dimensional Optimization. 311--324.

Geert Molenberghs, Geert Verbeke, Clarice G. B. Demétrio, Afrânio M. C. Vieira. A Family of Generalized Linear Models for Repeated Measures with Normal and Conjugate Random Effects. 325--347.

Nader Ebrahimi, Ehsan S. Soofi, Refik Soyer. On the Sample Information About Parameter and Prediction. 348--367.

Vanessa Didelez, Svend Kreiner, Niels Keiding. Graphical Models for Inference Under Outcome-Dependent Sampling. 368--387.

Haim Bar, James Booth, Elizabeth Schifano, Martin T. Wells. Laplace Approximated EM Microarray Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments. 388--407.

Daniel Peña, Ruey S. Tsay. A Conversation with George C. Tiao. 408--428.

Statistical Science, Volume 25, Number 4 (2010)

Mon, 14 Mar 2011 09:11 EDT

Contents:

David A. van Dyk, Xiao-Li Meng. Cross-Fertilizing Strategies for Better EM Mountain Climbing and DA Field Exploration: A Graphical Guide Book. 429--449.

Nan M. Laird. The EM Algorithm in Genetics, Genomics and Public Health. 450--457.

Zhangzhang Si, Haifeng Gong, Song-Chun Zhu, Ying Nian Wu. Learning Active Basis Models by EM-Type Algorithms. 458--475.

Xiaodan Fan, Yuan Yuan, Jun S. Liu. The EM Algorithm and the Rise of Computational Biology. 476--491.

Tong Tong Wu, Kenneth Lange. The MM Alternative to EM. 492--505.

Martin A. Tanner, Wing H. Wong. From EM to Data Augmentation: The Emergence of MCMC Bayesian Computation in the 1980s. 506--516.

Yan Zhou, Roderick J. A. Little, John D. Kalbfleisch. Block-Conditional Missing at Random Models for Missing Data. 517--532.

Andrew Lewandowski, Chuanhai Liu, Scott Vander Wiel. Parameter Expansion and Efficient Inference. 533--544.

Ana M. Pires, João A. Branco. A Statistical Model to Explain the Mendel–Fisher Controversy. 545--565.

Debasis Bhattacharya, Francisco J. Samaniego. A Conversation with George G. Roussas. 566--587.

Statistical Science, Volume 26, Number 1 (2011)

Thu, 09 Jun 2011 09:37 EDT

Contents:

Robert E. Kass. Statistical Inference: The Big Picture. 1--9.

Andrew Gelman. Bayesian Statistical Pragmatism. 10--11.

Steven N. Goodman. Discussion of “Statistical Inference: The Big Picture” by R. E. Kass. 12--14.

Robert McCulloch. Discussion of “Statistical Inference: The Big Picture” by R. E. Kass. 15--16.

Hal Stern. Discussion of “Statistical Inference: The Big Picture” by R. E. Kass. 17--18.

Robert E. Kass. Rejoinder. 19--20.

Yingcun Xia, Howell Tong. Feature Matching in Time Series Modeling. 21--46.

Bruce E. Hansen. Discussion of “Feature Matching in Time Series Modeling” by Y. Xia and H. Tong. 47--48.

Edward L. Ionides. Discussion of “Feature Matching in Time Series Modeling” by Y. Xia and H. Tong. 49--52.

Kung-Sik Chan, Ruey S. Tsay. Discussion of “Feature Matching in Time Series Modeling” by Y. Xia and H. Tong. 53--56.

Qiwei Yao. Discussion of “Feature Matching in Time Series Modeling” by Y. Xia and H. Tong. 57--58.

Yingcun Xia, Howell Tong. Rejoinder. 59--61.

Julia Salzman, Hui Jiang, Wing Hung Wong. Statistical Modeling of RNA-Seq Data. 62--83.

Glenn Shafer, Alexander Shen, Nikolai Vereshchagin, Vladimir Vovk. Test Martingales, Bayes Factors and p -Values. 84--101.

Christian Robert, George Casella. A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data. 102--115.

Heping Zhang. Statistical Analysis in Genetic Studies of Mental Illnesses. 116--129.

Terrance Savitsky, Marina Vannucci, Naijun Sha. Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies. 130--149.

Ya’acov Ritov. A Random Walk with Drift: Interview with Peter J. Bickel. 150--159.

Statistical Science, Volume 26, Number 2 (2011)

Mon, 01 Aug 2011 09:07 EDT

Contents:

P. Lahiri, Eric Slud. Introduction. 161--161.

Roderick Little. Calibrated Bayes, for Statistics in General, and Missing Data in Particular. 162--174.

Michael D. Larsen. Discussion of “Calibrated Bayes, for Statistics in General, and Missing Data in Particular” by R. J. A. Little. 175--178.

Nathaniel Schenker. Discussion of “Calibrated Bayes, for Statistics in General, and Missing Data in Particular” by R. J. A. Little. 179--184.

Roderick Little. Rejoinder. 185--186.

Malay Ghosh. Objective Priors: An Introduction for Frequentists. 187--202.

José M. Bernardo. Discussion of “Objective Priors: An Introduction for Frequentists” by M. Ghosh. 203--205.

Trevor Sweeting. Discussion of “Objective Priors: An Introduction for Frequentists” by M. Ghosh. 206--209.

Malay Ghosh. Rejoinder. 210--211.

Stephen E. Fienberg. Bayesian Models and Methods in Public Policy and Government Settings. 212--226.

David J. Hand. Discussion of “Bayesian Models and Methods in Public Policy and Government Settings” by S. E. Fienberg. 227--230.

Graham Kalton. Discussion of “Bayesian Models and Methods in Public Policy and Government Settings” by S. E. Fienberg. 231--234.

Alan M. Zaslavsky. Sampling from a Bayesian Menu. 235--237.

Stephen E. Fienberg. Rejoinder. 238--239.

J. N. K. Rao. Impact of Frequentist and Bayesian Methods on Survey Sampling Practice: A Selective Appraisal. 240--256.

Glen Meeden. Discussion of “Impact of Frequentist and Bayesian Methods on Survey Sampling Practice: A Selective Appraisal” by J. N. K. Rao. 257--259.

J. Sedransk. Discussion of “Impact of Frequentist and Bayesian Methods on Survey Sampling Practice: A Selective Appraisal” by J. N. K. Rao. 260--261.

Eric Slud. Discussion of “Impact of Frequentist and Bayesian Methods on Survey Sampling Practice: A Selective Appraisal” by J. N. K. Rao. 262--265.

J. N. K. Rao. Rejoinder. 266--270.

Carl Morris, Ruoxi Tang. Estimating Random Effects via Adjustment for Density Maximization. 271--287.

Claudio Fuentes, George Casella. Discussion of “Estimating Random Effects via Adjustment for Density Maximization” by C. Morris and R. Tang. 288--290.

P. Lahiri, Santanu Pramanik. Discussion of “Estimating Random Effects via Adjustment for Density Maximization” by C. Morris and R. Tang. 291--295.

Carl Morris. Rejoinder. 296--298.

Statistical Science, Volume 26, Number 3 (2011)

Mon, 31 Oct 2011 09:16 EDT

Contents:

D. A. S. Fraser. Is Bayes Posterior just Quick and Dirty Confidence?. 299--316.

Christian P. Robert. Discussion of “Is Bayes Posterior just Quick and Dirty Confidence?” by D. A. S. Fraser. 317--318.

Kesar Singh, Minge Xie. Discussion of “Is Bayes Posterior just Quick and Dirty Confidence?” by D. A. S. Fraser. 319--321.

Larry Wasserman. Frasian Inference. 322--325.

Tong Zhang. Discussion of “Is Bayes Posterior just Quick and Dirty Confidence?” by D. A. S. Fraser. 326--328.

D. A. S. Fraser. Rejoinder. 329--331.

James P. Hobert, Vivekananda Roy, Christian P. Robert. Improving the Convergence Properties of the Data Augmentation Algorithm with an Application to Bayesian Mixture Modeling. 332--351.

Joshua Landon, Frank X. Lee, Nozer D. Singpurwalla. A Problem in Particle Physics and Its Bayesian Analysis. 352--368.

Mohsen Pourahmadi. Covariance Estimation: The GLM and Regularization Perspectives. 369--387.

Charles E. McCulloch, John M. Neuhaus. Misspecifying the Shape of a Random Effects Distribution: Why Getting It Wrong May Not Matter. 388--402.

Stijn Vansteelandt, Jack Bowden, Manoochehr Babanezhad, Els Goetghebeur. On Instrumental Variables Estimation of Causal Odds Ratios. 403--422.

Michael Evans, Gun Ho Jang. Weak Informativity and the Information in One Prior Relative to Another. 423--439.

Victor M. Panaretos. A Conversation with David R. Brillinger. 440--469.

Statistical Science, Volume 26, Number 4 (2012)

Tue, 28 Feb 2012 09:05 EST

Contents:

Alicia L. Carriquiry. Election Forensics and the 2004 Venezuelan Presidential Recall Referendum as a Case Study. 471--478.

Gustavo Delfino, Guillermo Salas. Analysis of the 2004 Venezuela Referendum: The Official Results Versus the Petition Signatures. 479--501.

Luis Pericchi, David Torres. Quick Anomaly Detection by the Newcomb–Benford Law, with Applications to Electoral Processes Data from the USA, Puerto Rico and Venezuela. 502--516.

Raquel Prado, Bruno Sansó. The 2004 Venezuelan Presidential Recall Referendum: Discrepancies Between Two Exit Polls and Official Results. 517--527.

Isbelia Martín. 2004 Venezuelan Presidential Recall Referendum (2004 PRR): A Statistical Analysis from the Point of View of Electronic Voting Data Transmissions. 528--542.

Ricardo Hausmann, Roberto Rigobon. In Search of the Black Swan: Analysis of the Statistical Evidence of Electoral Fraud in Venezuela. 543--563.

Raúl Jiménez. Forensic Analysis of the Venezuelan Recall Referendum. 564--583.

Jelle J. Goeman, Aldo Solari. Multiple Testing for Exploratory Research. 584--597.

Ruth Heller. Discussion of “Multiple Testing for Exploratory Research” by J. J. Goeman and A. Solari. 598--600.

Nicolai Meinshausen. Discussion of “Multiple Testing for Exploratory Research” by J. J. Goeman and A. Solari. 601--603.

Peter H. Westfall. Discussion of “Multiple Testing for Exploratory Research” by J. J. Goeman and A. Solari. 604--607.

Jelle J. Goeman, Aldo Solari. Rejoinder. 608--612.

Adrian Baddeley, Ege Rubak, Jesper Møller. Score, Pseudo-Score and Residual Diagnostics for Spatial Point Process Models. 613--646.

Antonio Lijoi, Igor Prünster. A Conversation with Eugenio Regazzini. 647--672.

Index of Volume 26 (2011). 673--675.

Statistical Science, Volume 27, Number 1 (2012)

Wed, 14 Mar 2012 09:00 EDT

Contents:

Edward I. George, William E. Strawderman. A Tribute to Charles Stein. 1--2.

James Berger, William H. Jefferys, Peter Müller. Bayesian Nonparametric Shrinkage Applied to Cepheid Star Oscillations. 3--10.

Ann Cohen Brandwein, William E. Strawderman. Stein Estimation for Spherically Symmetric Distributions: Recent Developments. 11--23.

Lawrence D. Brown, Linda H. Zhao. A Geometrical Explanation of Stein Shrinkage. 24--30.

T. Tony Cai. Minimax and Adaptive Inference in Nonparametric Function Estimation. 31--50.

George Casella, J. T. Gene Hwang. Shrinkage Confidence Procedures. 51--60.

Dominique Fourdrinier, Martin T. Wells. On Improved Loss Estimation for Shrinkage Estimators. 61--81.

Edward I. George, Feng Liang, Xinyi Xu. From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction. 82--94.

G. Datta, M. Ghosh. Small Area Shrinkage Estimation. 95--114.

Carl N. Morris, Martin Lysy. Shrinkage Estimation in Multilevel Normal Models. 115--134.

Michael D. Perlman, Sanjay Chaudhuri. Reversing the Stein Effect. 135--143.

Dalene Stangl, Lurdes Y. T. Inoue, Telba Z. Irony. Celebrating 70: An Interview with Don Berry. 144--159.

Statistical Science, Volume 27, Number 2 (2012)

Tue, 19 Jun 2012 09:02 EDT

Contents:

A. C. Davison, S. A. Padoan, M. Ribatet. Statistical Modeling of Spatial Extremes. 161--186.

D. Cooley, S. R. Sain. Discussion of “Statistical Modeling of Spatial Extremes” by A. C. Davison, S. A. Padoan and M. Ribatet. 187--188.

Darmesah Gabda, Ross Towe, Jennifer Wadsworth, Jonathan Tawn. Discussion of “Statistical Modeling of Spatial Extremes” by A. C. Davison, S. A. Padoan and M. Ribatet. 189--192.

Johan Segers. Nonparametric Inference for Max-Stable Dependence. 193--196.

Benjamin Shaby, Brian J. Reich. Discussion of “Statistical Modeling of Spatial Extremes” by A. C. Davison, S. A. Padoan and M. Ribatet. 197--198.

A. C. Davison, S. A. Padoan, M. Ribatet. Rejoinder. 199--201.

Andrey Feuerverger, Yu He, Shashi Khatri. Statistical Significance of the Netflix Challenge. 202--231.

Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras. Joint Specification of Model Space and Parameter Space Prior Distributions. 232--246.

Tilmann Gneiting, Hana Ševčíková, Donald B. Percival. Estimators of Fractal Dimension: Assessing the Roughness of Time Series and Spatial Data. 247--277.

Christine Choirat, Raffaello Seri. Estimation in Discrete Parameter Models. 278--293.

Arthur Cohen, Harold Sackrowitz. The Interval Property in Multiple Testing of Pairwise Differences. 294--307.

Jerome Sacks, Donald Ylvisaker. After 50+ Years in Statistics, An Exchange. 308--318.

Statistical Science, Volume 27, Number 3 (2012)

Wed, 05 Sep 2012 08:59 EDT

Contents:

William DuMouchel. Multivariate Bayesian Logistic Regression for Analysis of Clinical Study Safety Issues. 319--339.

Bradley W. McEvoy, Ram C. Tiwari. Discussion of “Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues” by W. DuMouchel. 340--343.

Don Berry. Discussion of “Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues” by W. DuMouchel. 344--345.

Stephen Evans. An Answer to Multiple Problems with Analysis of Data on Harms?. 346--347.

William DuMouchel. Rejoinder. 348--349.

Yoonkyung Lee, Steven N. MacEachern, Yoonsuh Jung. Regularization of Case-Specific Parameters for Robustness and Efficiency. 350--372.

Yazhen Wang. Quantum Computation and Quantum Information. 373--394.

Arvid Sjölander, Anna L. V. Johansson, Cecilia Lundholm, Daniel Altman, Catarina Almqvist, Yudi Pawitan. Analysis of 1 : 1 Matched Cohort Studies and Twin Studies, with Binary Exposures and Binary Outcomes. 395--411.

Manuela Cattelan. Models for Paired Comparison Data: A Review with Emphasis on Dependent Data. 412--433.

Dayue Chen, Ingram Olkin. Pao-Lu Hsu (Xu, Bao-lu): The Grandparent of Probability and Statistics in China. 434--445.

Statistical Science, Volume 27, Number 4 (2012)

Fri, 21 Dec 2012 09:03 EST

Contents:

Jon Wellner, Tong Zhang. Introduction to the Special Issue on Sparsity and Regularization Methods. 447--449.

Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski. Structured Sparsity through Convex Optimization. 450--468.

Sara van de Geer, Patric Müller. Quasi-Likelihood and/or Robust Estimation in High Dimensions. 469--480.

Jian Huang, Patrick Breheny, Shuangge Ma. A Selective Review of Group Selection in High-Dimensional Models. 481--499.

Christophe Giraud, Sylvie Huet, Nicolas Verzelen. High-Dimensional Regression with Unknown Variance. 500--518.

John Lafferty, Han Liu, Larry Wasserman. Sparse Nonparametric Graphical Models. 519--537.

Sahand N. Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu. A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers. 538--557.

Philippe Rigollet, Alexandre B. Tsybakov. Sparse Estimation by Exponential Weighting. 558--575.

Cun-Hui Zhang, Tong Zhang. A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems. 576--593.

Tucker S. McElroy, Scott H. Holan. A Conversation with David Findley. 594--606.

Statistical Science, Volume 28, Number 1 (2013)

Tue, 29 Jan 2013 09:07 EST

Contents:

Michael Friendly, Georges Monette, John Fox. Elliptical Insights: Understanding Statistical Methods through Elliptical Geometry. 1--39.

Danny Pfeffermann. New Important Developments in Small Area Estimation. 40--68.

Ming Lin, Rong Chen, Jun S. Liu. Lookahead Strategies for Sequential Monte Carlo. 69--94.

Ritabrata Dutta, Jayanta K. Ghosh. Bayes Model Selection with Path Sampling: Factor Models and Other Examples. 95--115.

Matthew Reimherr, Dan L. Nicolae. On Quantifying Dependence: A Framework for Developing Interpretable Measures. 116--130.

Murad S. Taqqu. Benoît Mandelbrot and Fractional Brownian Motion. 131--134.

Statistical Science, Volume 28, Number 2 (2013)

Tue, 21 May 2013 10:52 EDT

Contents:

Samuel Müller, J. L. Scealy, A. H. Welsh. Model Selection in Linear Mixed Models. 135--167.

Linda S. L. Tan, David J. Nott. Variational Inference for Generalized Linear Mixed Models Using Partially Noncentered Parametrizations. 168--188.

M. G. B. Blum, M. A. Nunes, D. Prangle, S. A. Sisson. A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation. 189--208.

Jaeyong Lee, Fernando A. Quintana, Peter Müller, Lorenzo Trippa. Defining Predictive Probability Functions for Species Sampling Models. 209--222.

David Johnstone, Dennis Lindley. Mean–Variance and Expected Utility: The Borch Paradox. 223--237.

Yiting Deng, D. Sunshine Hillygus, Jerome P. Reiter, Yajuan Si, Siyu Zheng. Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples. 238--256.

Shaun Seaman, John Galati, Dan Jackson, John Carlin. What Is Meant by “Missing at Random”?. 257--268.

David Aldous. Another Conversation with Persi Diaconis. 269--281.