Journal of the Royal Statistical Society - Series B

CAI T. Tony, JENG X. Jessie, LI Hongzhe - Robust detection and identification of sparse segments in ultrahigh dimensional data analysis, pp. 773–797
BAI Yun, SONG Peter X.-K., RAGHUNATHAN T. E. - Joint composite estimating functions in spatiotemporal models, pp. 799–824
DAVIDOV Ori, HERMAN Amir - Ordinal dominance curve based inference for stochastically ordered distributions, pp. 825–847
ZHONG Wenxuan, ZHANG Tingting, ZHU Yu, LIU Jun S. - Correlation pursuit: forward stepwise variable selection for index models, pp. 849–870
ZHAO Zhigen, HWANG J. T. Gene - Empirical Bayes false coverage rate controlling confidence intervals, pp. 871–891

THAS Olivier, DE NEVE Jan, CLEMENT Lieven, OTTOY Jean-Pierre - Probabilistic index models, pp. 623-671
FARRINGTON C. Paddy, UNKEL Steffen, ANAYA-IZQUIERDO Karim - The relative frailty variance and shared frailty models, pp. 673–696
YUAN Ying, ZHU Hongtu, LIN Weili, MARRON J. S. - Local polynomial regression for symmetric positive definite matrices, pp. 697–719
ALLEN Genevera I., TIBSHIRANI Robert - Inference with transposable data: modelling the effects of row and column correlations, pp. 721–743
FAN Jianqing, FENG Yang, TONG Xin - A road to classification in high dimensional space: the regularized optimal affine discriminant, pp. 745–771

VAN ERVEN Tim, GRÜNWALD Peter, DE ROOIJ Steven - Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC–BIC dilemma, pp. 361–417
FEARNHEAD Paul, PRANGLE Dennis - Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation, pp. 419–474
MOUGEOT Mathilde, PICARD Dominique, TRIBOULEY Karine - Learning out of leaders, pp. 475–513
YEKUTIELI Daniel - Adjusted Bayesian inference for selected parameters, pp. 515–541
WADSWORTH J. L., TAWN J. A. - Likelihood-based procedures for threshold diagnostics and uncertainty in extreme value modelling, pp. 543–567
EVANS Steven N., MATSEN Frederick A. - The phylogenetic Kantorovich–Rubinstein metric for environmental sequence samples, pp. 569–592
CHO Haeran, FRYZLEWICZ Piotr - High dimensional variable selection via tilting, pp. 593–622

CHENG Yu, FINE Jason P. - Cumulative incidence association models for bivariate competing risks data, pp. 183-202
CHEN Kun, CHAN Kung-Sik, STENSETH Nils Chr. - Reduced rank stochastic regression with a sparse singular value decomposition, pp. 203-221
VANSTEELANDT Stijn, VANDERWEELE Tyler J., ROBINS James M. - Supporting InformationRequest PermissionsSemiparametric tests for sufficient cause interaction, pp. 223-244
TIBSHIRANI Robert, BIEN Jacob, FRIEDMAN Jerome, HASTIE Trevor, SIMON Noah, TAYLOR Jonathan, TIBSHIRANI Ryan J. - Strong rules for discarding predictors in lasso-type problems, pp. 245-266
DELAIGLE Aurore, HALL Peter - Achieving near perfect classification for functional data, pp. 267–286
POLSON Nicholas G., SCOTT James G. - Local shrinkage rules, Lévy processes and regularized regression, pp. 287-311
HE Yunxiao, LIU Chuanhai- The dynamic ‘expectation–conditional maximization either’ algorithm, pp. 313–336
NEILL Daniel B. - Fast subset scan for spatial pattern detection, pp. 337–360

Original Articles

AMBROISE Christophe, MATIAS Catherine - New consistent and asymptotically normal parameter estimates for random-graph mixture models, pp. 3–35
FAN Jianqing, GUO Shaojun, HAO Ning - Variance estimation using refitted cross-validation in ultrahigh dimensional regression, pp. 37–65
CHEN Kehui, MÜLLER Hans-Georg - Conditional quantile analysis when covariates are functions, with application to growth data, pp. 67–89
LEE Stephen M. S. - Hybrid confidence regions based on data depth, pp. 91–109
SANG Huiyan, HUANG Jianhua Z. - A full scale approximation of covariance functions for large spatial data sets, pp. 111–132
DELLAPORTAS Petros, KONTOYIANNIS Ioannis - Control variates for estimation based on reversible Markov chain Monte Carlo samplers, pp. 133–161
LIANG Kun, NETTLETON Dan - Adaptive and dynamic adaptive procedures for false discovery rate control and estimation, pp. 163–182

Dernière modification le 22.03.2022