Biometrika

Volume 89 - 112

Current editor(s): Paul Fearnhead

From Biometrika Trust
Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
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Volume 103, issue 4, 2016

Some pioneers of modern statistical theory: a personal reflection pp. 747-759

D. R. Cox

Replicates in high dimensions, with applications to latent variable graphical models pp. 761-777

Kean Ming Tan, Yang Ning, Daniela M. Witten and Han Liu

Approximating fragmented functional data by segments of Markov chains pp. 779-799

A. Delaigle and P. Hall

Misclassified group-tested current status data pp. 801-815

L. C. Petito and N. P. Jewell

Optimal stratification in outcome prediction using baseline information pp. 817-828

Florence H. Yong, Lu Tian, Sheng Yu, Tianxi Cai and L. J. Wei

On inverse probability-weighted estimators in the presence of interference pp. 829-842

Lancui Liu, M. G. Hudgens and S. Becker-Dreps

In-sample forecasting with local linear survival densities pp. 843-859

M. Hiabu, E. Mammen, M. D. Martìnez-Miranda and J. P. Nielsen

Combining eigenvalues and variation of eigenvectors for order determination pp. 875-887

Wei Luo and Bing Li

Nonnested model comparisons for time series pp. 905-914

Tucker McElroy

Multivariate spatial covariance models: a conditional approach pp. 915-935

Noel Cressie and Andrew Zammit-Mangion

The cylindrical $K$-function and Poisson line cluster point processes pp. 937-954

Jesper Møller, Farzaneh Safavimanesh and Jakob Gulddahl Rasmussen

Default Bayesian analysis with global-local shrinkage priors pp. 955-969

Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson and Brandon Willard

Bayesian inference on quasi-sparse count data pp. 971-983

Jyotishka Datta and David B. Dunson

A conditional Lindley paradox in Bayesian linear models pp. 993-999

Agniva Som, Christopher M Hans and Steven N MacEachern

Volume 103, issue 3, 2016

Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics pp. 493-511

Yuying Xie, Yufeng Liu and William Valdar

On an additive partial correlation operator and nonparametric estimation of graphical models pp. 513-530

Kuang-Yao Lee, Bing Li and Hongyu Zhao

The correlation space of Gaussian latent tree models and model selection without fitting pp. 531-545

N. Shiers, P. Zwiernik, J. A. D. Aston and J. Q. Smith

Variable selection for case-cohort studies with failure time outcome pp. 547-562

Ai Ni, Jianwen Cai and Donglin Zeng

A differential-geometric approach to generalized linear models with grouped predictors pp. 563-577

Luigi Augugliaro, Angelo M. Mineo and Ernst C. Wit

Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression pp. 579-593

Zoey Su, G. Zhu, X. Chen and Y. Yang

Indirect multivariate response linear regression pp. 595-607

Aaron J. Molstad and Adam J. Rothman

An adaptive two-sample test for high-dimensional means pp. 609-624

Gongjun Xu, Lifeng Lin, Peng Wei and Wei Pan

Accurate directional inference for vector parameters pp. 625-639

D. A. S. Fraser, N. Reid and N. Sartori

Distribution of likelihood-based p-values under a local alternative hypothesis pp. 641-652

Stephen M. S. Lee and G. Alastair Young

A theoretical study of Stein's covariance estimator pp. 653-666

Bala Rajaratnam and Dario Vincenzi

A Bayesian view of doubly robust causal inference pp. 667-681

O. Saarela, L. R. Belzile and D. A. Stephens

Intrinsic efficiency and multiple robustness in longitudinal studies with drop-out pp. 683-700

Peisong Han

Particle Metropolis-adjusted Langevin algorithms pp. 701-717

Christopher Nemeth, Chris Sherlock and Paul Fearnhead

On random- and systematic-scan samplers pp. 719-726

C. Andrieu

Bootstrap-based testing of equality of mean functions or equality of covariance operators for functional data pp. 727-733

E. Paparoditis and T. Sapatinas

A goodness-of-fit test for structural nested mean models pp. 734-741

S. Yang and J. J. Lok

On the win-ratio statistic in clinical trials with multiple types of event pp. 742-745

D. Oakes

Volume 103, issue 2, 2016

Maximum likelihood estimation for semiparametric transformation models with interval-censored data pp. 253-271

Donglin Zeng, Lu Mao and D. Y. Lin

Nonparametric maximum likelihood estimation for the multisample Wicksell corpuscle problem pp. 273-286

Kwun Chuen Gary Chan and Jing Qin

Regression analysis of networked data pp. 287-301

Yan Zhou and Peter X.-K. Song

Exact simulation of max-stable processes pp. 303-317

Clément Dombry, Sebastian Engelke and Marco Oesting

Data augmentation for models based on rejection sampling pp. 319-335

Vinayak Rao, Lizhen Lin and David B. Dunson

Exponential tilting in Bayesian asymptotics pp. 337-349

S. A. Kharroubi and T. J. Sweeting

Partial least squares for dependent data pp. 351-362

Marco Singer, Tatyana Krivobokova, Axel Munk and Bert de Groot

Skew-normal antedependence models for skewed longitudinal data pp. 363-376

Shu-Ching Chang and Dale L. Zimmerman

A pairwise interaction model for multivariate functional and longitudinal data pp. 377-396

Jeng-Min Chiou and Hans-Georg Müller

On exchangeable multinomial distributions pp. 397-408

E. Olusegun George, Kyeongmi Cheon, Yilian Yuan and Aniko Szabo

A pairwise likelihood-based approach for changepoint detection in multivariate time series models pp. 409-421

Ting Fung Ma and Chun Yip Yau

Nonparametric identification and maximum likelihood estimation for hidden Markov models pp. 423-434

G. Alexandrovich, H. Holzmann and A. Leister

Quantile-based classifiers pp. 435-446

Christian Hennig and C. Viroli

Modelling complex survey data with population level information: an empirical likelihood approach pp. 447-459

M. Oguz-Alper and Y. G. Berger

Calibrated propensity score method for survey nonresponse in cluster sampling pp. 461-473

Jae Kwang Kim, Yongchan Kwon and Myunghee Cho Paik

On varieties of doubly robust estimators under missingness not at random with a shadow variable pp. 475-482

Wang Miao and Eric J. Tchetgen Tchetgen

Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding pp. 483-490

Peng Ding and Tyler J. Vanderweele

Clarifying missing at random and related definitions, and implications when coupled with exchangeability pp. 491

Fabrizia Mealli and Donald B. Rubin

Retraction Notice pp. e1

Paul R. Rosenbaum

Volume 103, issue 1, 2016

Empirical Bayes deconvolution estimates pp. 1-20

Bradley Efron

High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference pp. 21-34

Lee H. Dicker and Sihai D. Zhao

Nonparametric Bayes inference on conditional independence pp. 35-47

Tsuyoshi Kunihama and David B. Dunson

Going off grid: computationally efficient inference for log-Gaussian Cox processes pp. 49-70

D. Simpson, J. B. Illian, F. Lindgren, S. H. Sørbye and H. Rue

Spatial regression models over two-dimensional manifolds pp. 71-88

B. Ettinger, S. Perotto and L. M. Sangalli

Stochastic mechanistic interaction pp. 89-102

Carlo Berzuini and A. Philip Dawid

Fréchet integration and adaptive metric selection for interpretable covariances of multivariate functional data pp. 103-120

Alexander Petersen and Hans-Georg Müller

A unified framework for spline estimators pp. 121-131

Katsiaryna Schwarz and Tatyana Krivobokova

Goodness-of-fit test in parametric mixed effects models based on estimation of the error distribution pp. 133-146

Wenceslao González-Manteiga, María Dolores Martínez-Miranda and Ingrid Van Keilegom

Partially functional linear regression in high dimensions pp. 147-159

Dehan Kong, Kaijie Xue, Fang Yao and Hao H. Zhang

Semiparametric approach to regression with a covariate subject to a detection limit pp. 161-174

Shengchun Kong and Bin Nan

Semiparametric inverse propensity weighting for nonignorable missing data pp. 175-187

Jun Shao and Lei Wang

An estimating equation approach to dimension reduction for longitudinal data pp. 189-203

Kelin Xu, Wensheng Guo, Momiao Xiong, Liping Zhu and Li Jin

On distributions of ratios pp. 205-218

Simon Broda and Raymond Kan

Some matched comparisons of two distributions of survival time pp. 219-224

Christiana Kartsonaki and D. R. Cox

Towards a unification of second-order theory for likelihood and marginal composite likelihood pp. 225-230

N. Lunardon

Higher dimensional Clayton–Oakes models for multivariate failure time data pp. 231-236

R. L. Prentice

Improving Holm's procedure using pairwise dependencies pp. 237-243

Sanat K. Sarkar, Yiyong Fu and Wenge Guo

A note on multiple imputation for method of moments estimation pp. 244-251

S. Yang and J. K. Kim