VOL. 3 · NO. 2 | June 2009
 
VIEW ALL ABSTRACTS +
Frontmatter
Ann. Appl. Stat. 3 (2), (June 2009)
No abstract available
Ann. Appl. Stat. 3 (2), (June 2009)
No abstract available
Articles
Shane T. Jensen, Kenneth E. Shirley, Abraham J. Wyner
Ann. Appl. Stat. 3 (2), 491-520, (June 2009) DOI: 10.1214/08-AOAS228
KEYWORDS: Spatial models, Bayesian shrinkage, baseball fielding
Jianqing Fan, Yang Feng, Yichao Wu
Ann. Appl. Stat. 3 (2), 521-541, (June 2009) DOI: 10.1214/08-AOAS215
KEYWORDS: Adaptive LASSO, covariance selection, Gaussian concentration graphical model, genetic network, Lasso, precision matrix, SCAD
Jorge R. Busch, Pablo A. Ferrari, Ana Georgina Flesia, Ricardo Fraiman, Sebastian P. Grynberg, Florencia Leonardi
Ann. Appl. Stat. 3 (2), 542-563, (June 2009) DOI: 10.1214/08-AOAS218
KEYWORDS: Protein classification, Hypothesis testing, Random trees, variable length Markov chains
Art B. Owen, Patrick O. Perry
Ann. Appl. Stat. 3 (2), 564-594, (June 2009) DOI: 10.1214/08-AOAS227
KEYWORDS: cross-validation, principal components, Random matrix theory, sample reuse, weak factor model
Dankmar Böhning, Peter G. M. van der Heijden
Ann. Appl. Stat. 3 (2), 595-610, (June 2009) DOI: 10.1214/08-AOAS214
KEYWORDS: Population size estimation, capture–recapture, estimation under model misspecification, truncated Poisson and binomial likelihood, elusive population
Francesco Bartolucci, Monia Lupparelli, Giorgio E. Montanari
Ann. Appl. Stat. 3 (2), 611-636, (June 2009) DOI: 10.1214/08-AOAS230
KEYWORDS: EM algorithm, hidden Markov chains, item response theory, latent variable models
Céline Lévy-Leduc, François Roueff
Ann. Appl. Stat. 3 (2), 637-662, (June 2009) DOI: 10.1214/08-AOAS232
KEYWORDS: Network anomaly detection, change-point detection, rank tests, High-dimensional data
D. Fouskakis, I. Ntzoufras, D. Draper
Ann. Appl. Stat. 3 (2), 663-690, (June 2009) DOI: 10.1214/08-AOAS207
KEYWORDS: Input-output analysis, quality of health care, sickness at hospital admission, cost-benefit analysis, Laplace approximation, MCMC model composition (MC^3), Bayesian information criterion (BIC), cost-adjusted BIC, reversible-jump Markov chain Monte Carlo (RJMCMC) methods
Brenda Jenney, Sharon Lohr
Ann. Appl. Stat. 3 (2), 691-709, (June 2009) DOI: 10.1214/08-AOAS216
KEYWORDS: Anticipated variance, contamination, hierarchical design, multilevel response, Randomization
Xi Kathy Zhou, Merlise A. Clyde, James Garrett, Viridiana Lourdes, Michael O’Connell, Giovanni Parmigiani, David J. Turner, Tim Wiles
Ann. Appl. Stat. 3 (2), 710-730, (June 2009) DOI: 10.1214/08-AOAS217
KEYWORDS: Bayes, BIC, decision theory, logistic regression, Model selection, model uncertainty
Peter J. Green, Julia Mortera
Ann. Appl. Stat. 3 (2), 731-763, (June 2009) DOI: 10.1214/09-AOAS235
KEYWORDS: Bayesian networks, coancestry coefficient, constrained steepest descent, criminal identification, disputed paternity, DNA mixtures, heterogeneous population, identity by descent, inbreeding, kinship, linear fractional programming, Pólya urn, uncertainty in allele frequencies
Paul T. Edlefsen, Chuanhai Liu, Arthur P. Dempster
Ann. Appl. Stat. 3 (2), 764-790, (June 2009) DOI: 10.1214/00-AOAS223
KEYWORDS: Dempster–Shafer, Bayesian, belief function, evidence theory, Poisson, high-energy physics, Higgs boson
Kyung-Ah Sohn, Eric P. Xing
Ann. Appl. Stat. 3 (2), 791-821, (June 2009) DOI: 10.1214/08-AOAS225
KEYWORDS: Dirichlet process, Hierarchical Dirichlet process, haplotype inference, Population genetics, Mixture models, Coalescence
Ryan J. Tibshirani, Robert Tibshirani
Ann. Appl. Stat. 3 (2), 822-829, (June 2009) DOI: 10.1214/08-AOAS224
KEYWORDS: cross-validation, prediction error estimation, optimism estimation
Brisa N. Sánchez, Esben Budtz-Jørgensen, Louise M. Ryan
Ann. Appl. Stat. 3 (2), 830-856, (June 2009) DOI: 10.1214/08-AOAS226
KEYWORDS: Factor score regression, measurement error, Dimension reduction, lead exposure
Yili Hong, William Q. Meeker, James D. McCalley
Ann. Appl. Stat. 3 (2), 857-879, (June 2009) DOI: 10.1214/00-AOAS231
KEYWORDS: maximum likelihood, random weighted bootstrap, reliability, regression analysis, transformer maintenance
Back to Top