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 112, issue 2, 2025

Semiparametric local variable selection under misspecification pp. 192-225

D Rossell, A K Seong, I Saez and M Guindani

Assessing variable importance in survival analysis using machine learning pp. 333-43

C J Wolock, P B Gilbert, N Simon and M Carone

Bayesian clustering of high-dimensional data via latent repulsive mixtures pp. 551-8

L Ghilotti, M Beraha and A Guglielmi

Consistency of common spatial estimators under spatial confounding pp. 945-61

Brian Gilbert, Elizabeth L Ogburn and Abhirup Datta

Volume 112, issue 1, 2025

With random regressors, least squares inference is robust to correlated errors with unknown correlation structure pp. 1-35

Zifeng Zhang, Peng Ding, Wen Zhou and Haonan Wang

Multiple conditional randomization tests for lagged and spillover treatment effects pp. 3-16

Yao Zhang and Qingyuan Zhao

Studies in the history of probability and statistics, LI: the first conditional logistic regression pp. 89-100

J A Hanley

A robust covariate-balancing method for learning optimal individualized treatment regimes pp. 133-61

Canhui Li, Donglin Zeng and Wensheng Zhu

An adaptive null proportion estimator for false discovery rate control pp. 149-78

Zijun Gao

Variance-based sensitivity analysis for weighting estimators results in more informative bounds pp. 235-40

Melody Huang and Samuel D Pimentel

Estimating causal effects under non-individualistic treatments due to network entanglement pp. 235-67

P Toulis, A Volfovsky and E M Airoldi

The phase diagram of kernel interpolation in large dimensions pp. 242-52

Haobo Zhang, Weihao Lu and Qian Lin

Testing the mean and variance by e-processes pp. 289-300

Yixuan Fan, Zhanyi Jiao and Ruodu Wang

Axiomatization of interventional probability distributions pp. 507-56

Kayvan Sadeghi and Terry Soo

Semi-supervised distribution learning pp. 669-74

Mengtao Wen, Yinxu Jia, Haojie Ren, Zhaojun Wang and Changliang Zou

Boosting the power of kernel two-sample tests pp. 1148-59

A Chatterjee and B B Bhattacharya

Semiparametric efficiency gains from parametric restrictions on propensity scores pp. 1747-85

Haruki Kono

A note on e-values and multiple testing pp. 2055-85

Guanxun Li and Xianyang Zhang

Sensitivity models and bounds under sequential unmeasured confounding in longitudinal studies pp. 2645-57

Zhiqiang Tan

A simple bootstrap for Chatterjee’s rank correlation pp. 3070-102

H Dette and M Kroll

Causal inference with hidden mediators pp. 5633-751

Amiremad Ghassami, Alan Yang, Ilya Shpitser and Eric Tchetgen Tchetgen

Volume 111, issue 4, 2024

Optimal regimes for algorithm-assisted human decision-making pp. 1089-1108

M J Stensrud, J D Laurendeau and A L Sarvet

Exact selective inference with randomization pp. 1109-1127

Snigdha Panigrahi, Kevin Fry and Jonathan Taylor

Flexible control of the median of the false discovery proportion pp. 1129-1150

Jesse Hemerik, Aldo Solari and Jelle J Goeman

Radial neighbours for provably accurate scalable approximations of Gaussian processes pp. 1151-1167

Yichen Zhu, Michele Peruzzi, Cheng Li and David B Dunson

A rank-based sequential test of independence pp. 1169-1186

Alexander Henzi and Michael Law

Testing independence for sparse longitudinal data pp. 1187-1199

Changbo Zhu, Junwen Yao and Jane-Ling Wang

On some algorithms for estimation in Gaussian graphical models pp. 1201-1219

S Højsgaard and S Lauritzen

Network-adjusted covariates for community detection pp. 1221-1240

Y Hu and W Wang

Skip sampling: subsampling in the frequency domain pp. 1241-1256

Tucker McElroy and Dimitris N Politis

Individualized dynamic latent factor model for multi-resolutional data with application to mobile health pp. 1257-1275

J Zhang, F Xue, Q Xu, J Lee and A Qu

Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests pp. 1277-1292

Lujia Bai and Weichi Wu

Testing serial dependence or cross dependence for time series with underreporting pp. 1293-1312

Keyao Wei, Lengyang Wang and Yingcun Xia

Debiasing Welch’s method for spectral density estimation pp. 1313-1329

Lachlan C Astfalck, Adam M Sykulski and Edward J Cripps

Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and a singular Fisher information matrix pp. 1331-1348

T Guédon, C Baey and E Kuhn

Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes pp. 1349-1368

Jeffrey Zhang, Dylan S Small and Siyu Heng

A model-free variable screening method for optimal treatment regimes with high-dimensional survival data pp. 1369-1386

Cheng-Han Yang and Yu-Jen Cheng

Inference for possibly misspecified generalized linear models with nonpolynomial-dimensional nuisance parameters pp. 1387-1404

Shaoxin Hong, Jiancheng Jiang, Xuejun Jiang and Haofeng Wang

More power by using fewer permutations pp. 1405-1412

Nick W Koning

Covariate adjustment in randomized experiments with missing outcomes and covariates pp. 1413-1420

Anqi Zhao, Peng Ding and Fan Li

On propensity score matching with a diverging number of matches pp. 1421-1428

Yihui He and Fang Han

Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes pp. 1429-1436

Erin E Gabriel, Michael C Sachs and Andreas Kryger Jensen

Inference for partial correlations of a multivariate Gaussian time series pp. 1437-1444

A S Dilernia, M Fiecas and L Zhang

Volume 111, issue 3, 2024

Selective conformal inference with false coverage-statement rate control pp. 727-742

Yajie Bao, Yuyang Huo, Haojie Ren and Changliang Zou

Central limit theorems for local network statistics pp. 743-754

P A Maugis

Generalized kernel two-sample tests pp. 755-770

Hoseung Song and Hao Chen

Graphical tools for selecting conditional instrumental sets pp. 771-788

L Henckel, M Buttenschoen and M H Maathuis

Doubly robust estimation under covariate-induced dependent left truncation pp. 789-808

Yuyao Wang, Andrew Ying and Ronghui Xu

Explicit solutions for the asymptotically optimal bandwidth in cross-validation pp. 809-823

Karim M Abadir and Michel Lubrano

Asymptotically constant risk estimator of the time-average variance constant pp. 825-842

K W Chan and C Y Yau

Efficient nonparametric estimation of Toeplitz covariance matrices pp. 843-864

K Klockmann and T Krivobokova

On the optimality of score-driven models pp. 865-880

P Gorgi, C S A Lauria and A Luati

Phylogenetic association analysis with conditional rank correlation pp. 881-902

Shulei Wang, Bo Yuan, T Tony Cai and Hongzhe Li

Network community detection using higher-order structures pp. 903-923

X Yu and J Zhu

Testing serial independence of object-valued time series pp. 925-944

Feiyu Jiang, Hanjia Gao and Xiaofeng Shao

Nonparametric priors with full-range borrowing of information pp. 945-969

F Ascolani, B Franzolini, A Lijoi and I Prünster

Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data pp. 971-988

Yu Gu, Donglin Zeng, Gerardo Heiss and D Y Lin

On inference in high-dimensional logistic regression models with separated data pp. 989-1011

R M Lewis and H S Battey

Projective independence tests in high dimensions: the curses and the cures pp. 1013-1027

Yaowu Zhang and Liping Zhu

Familial inference: tests for hypotheses on a family of centres pp. 1029-1045

Ryan Thompson, Catherine S Forbes, Steven N MacEachern and Mario Peruggia

Regression analysis of group-tested current status data pp. 1047-1061

Shuwei Li, Tao Hu, Lianming Wang, Christopher S McMahan and Joshua M Tebbs

On the failure of the bootstrap for Chatterjee’s rank correlation pp. 1063-1070

Zhexiao Lin and Fang Han

A note on minimax robustness of designs against correlated or heteroscedastic responses pp. 1071-1075

D P Wiens

Second term improvement to generalized linear mixed model asymptotics pp. 1077-1084

Luca Maestrini, Aishwarya Bhaskaran and Matt P Wand

Volume 111, issue 2, 2024

The state of cumulative sum sequential changepoint testing 70 years after Page pp. 367-391

Alexander Aue and Claudia Kirch

On selection and conditioning in multiple testing and selective inference pp. 393-416

Jelle J Goeman and Aldo Solari

E-values as unnormalized weights in multiple testing pp. 417-439

Nikolaos Ignatiadis, Ruodu Wang and Aaditya Ramdas

More efficient exact group invariance testing: using a representative subgroup pp. 441-458

N W Koning and J Hemerik

Conformalized survival analysis with adaptive cut-offs pp. 459-477

Yu Gui, Rohan Hore, Zhimei Ren and Rina Foygel Barber

τ-censored weighted Benjamini–Hochberg procedures under independence pp. 479-496

Haibing Zhao and Huijuan Zhou

Kernel methods for causal functions: dose, heterogeneous and incremental response curves pp. 497-516

R Singh, L Xu and A Gretton

Selective machine learning of doubly robust functionals pp. 517-535

Y Cui and E J Tchetgen Tchetgen

Promises of parallel outcomes pp. 537-550

Ying Zhou, Dingke Tang, Dehan Kong and Linbo Wang

Order-based structure learning without score equivalence pp. 551-572

Hyunwoong Chang, James J Cai and Quan Zhou

Retrospective causal inference with multiple effect variables pp. 573-589

Wei Li, Zitong Lu, Jinzhu Jia, Min Xie and Zhi Geng

Likelihood-based inference under nonconvex boundary constraints pp. 591-607

J Y Wang, Z S Ye and Y Chen

On varimax asymptotics in network models and spectral methods for dimensionality reduction pp. 609-623

J Cape

A cross-validation-based statistical theory for point processes pp. 625-641

Ottmar Cronie, Mehdi Moradi and Christophe A N Biscio

Estimation of prediction error in time series pp. 643-660

Alexander Aue and Prabir Burman

An eigenvector-assisted estimation framework for signal-plus-noise matrix models pp. 661-676

Fangzheng Xie and Dingbo Wu

An anomaly arising in the analysis of processes with more than one source of variability pp. 677-689

H S Battey and Peter McCullagh

Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability pp. 691-705

Ting Ye, Jun Shao and Yanyao Yi

Deep Kronecker network pp. 707-714

Long Feng and Guang Yang

Kernel interpolation generalizes poorly pp. 715-722

Yicheng Li, Haobo Zhang and Qian Lin

Volume 111, issue 1, 2024

Causal inference with misspecified exposure mappings: separating definitions and assumptions pp. 1-15

F Sävje

Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’ pp. 17-20

Michael Leung

Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’ pp. 21-24

Eric Auerbach, Jonathan Auerbach and Max Tabord-Meehan

Rejoinder: Causal inference with misspecified exposure mappings: separating definitions and assumptions pp. 25-29

F Sävje

A linear adjustment-based approach to posterior drift in transfer learning pp. 31-50

Subha Maity, Diptavo Dutta, Jonathan Terhorst, Yuekai Sun and Moulinath Banerjee

Efficient evaluation of natural stochastic policies in off-line reinforcement learning pp. 51-69

Nathan Kallus and Masatoshi Uehara

Universal robust regression via maximum mean discrepancy pp. 71-92

P Alquier and M Gerber

Online inference with debiased stochastic gradient descent pp. 93-108

Ruijian Han, Lan Luo, Yuanyuan Lin and Jian Huang

Hybrid confidence intervals for informative uniform asymptotic inference after model selection pp. 109-127

Adam McCloskey

One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves pp. 129-145

H C W Rytgaard and M J van der Laan

Populations of unlabelled networks: graph space geometry and generalized geodesic principal components pp. 147-170

Anna Calissano, Aasa Feragen and Simone Vantini

Statistical summaries of unlabelled evolutionary trees pp. 171-193

Rajanala Samyak and Julia A Palacios

Bayesian learning of network structures from interventional experimental data pp. 195-214

F Castelletti and S Peluso

Tailored inference for finite populations: conditional validity and transfer across distributions pp. 215-233

Ying Jin and Dominik Rothenhäusler

Treatment effect quantiles in stratified randomized experiments and matched observational studies pp. 235-254

Yongchang Su and Xinran Li

A mark-specific quantile regression model pp. 255-272

Lianqiang Qu, Liuquan Sun and Yanqing Sun

On geometric convergence for the Metropolis-adjusted Langevin algorithm under simple conditions pp. 273-289

Alain Oliviero-Durmus and Éric Moulines

Interpolating discriminant functions in high-dimensional Gaussian latent mixtures pp. 291-308

Xin Bing and Marten Wegkamp

Robust sample weighting to facilitate individualized treatment rule learning for a target population pp. 309-329

Rui Chen, Jared D Huling, Guanhua Chen and Menggang Yu

No-harm calibration for generalized Oaxaca–Blinder estimators pp. 331-338

P L Cohen and C B Fogarty

Characterizing M-estimators pp. 339-346

Timo Dimitriadis Alfred Weber, Tobias FisslerRiskLab and Johanna Ziegel

Scalable subsampling: computation, aggregation and inference pp. 347-354

Dimitris N Politis

Power and sample size calculations for rerandomization pp. 355-363

Zach Branson, Inran Li and Peng Ding