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 108, issue 4, 2021

Event history and topological data analysis (Persistence images: a stable vector representation of persistent homology) pp. 757-773

K Garside, A Gjoka, R Henderson, H Johnson and I Makarenko

Discussion of ‘Event history and topological data analysis’ (Persistence images: A stable vector representation of persistent homology) pp. 775-778

Moo K Chung and Hernando Ombao

Discussion of ‘Event history and topological data analysis’ (A cautionary example of the use of second-order methods for analysing point patterns) pp. 779-783

C A N Biscio and J Møller

Discussion of ‘Event history and topological data analysis’ (Event history and topological data analysis) pp. 785-788

Peter Bubenik

Rejoinder: ‘Event history and topological data analysis’ (Discussion of ‘Event history and topological data analysis) pp. 789-793

K Garside, A Gjoka, R Henderson, H Johnson and I Makarenko

Consistency guarantees for greedy permutation-based causal inference algorithms (Ordering-based causal structure learning in the presence of latent variables) pp. 795-814

L Solus, Y Wang and C Uhler

Regression adjustment in completely randomized experiments with a diverging number of covariates (Covariance adjustments for the analysis of randomized field experiments) pp. 815-828

Lihua Lei and Peng Ding

Changepoint inference in the presence of missing covariates for principal surrogate evaluation in vaccine trials (On the existence of maximum likelihood estimates in logistic regression models) pp. 829-843

Tao Yang, Ying Huang and Youyi Fong

A method of constructing maximin distance designs (Interleaved lattice-based maximin distance designs) pp. 845-855

Wenlong Li, Min-Qian Liu and Boxin Tang

Elicitation complexity of statistical properties (A characterization of scoring rules for linear properties) pp. 857-879

Rafael M Frongillo and Ian A Kash

Estimation of local treatment effects under the binary instrumental variable model (Bootstrap tests for distributional treatment effects in instrumental variable models) pp. 881-894

Linbo Wang, Yuexia Zhang, Thomas S Richardson and James M Robins

Bio-equivalence tests in functional data by maximum deviation (On the prediction of stationary functional time series) pp. 895-913

Holger Dette and Kevin Kokot

Covariate adaptive familywise error rate control for genome-wide association studies (A global reference for human genetic variation) pp. 915-931

Huijuan Zhou, Xianyang Zhang and Jun Chen

Learning block structures in U-statistic-based matrices (Consistency of AIC and BIC in estimating the number of significant components in high-dimensional principal component analysis) pp. 933-946

Weiping Zhang, Baisuo Jin and Zhidong Bai

Maximum likelihood estimation for semiparametric regression models with panel count data (Cox’s regression model for counting processes: A large sample study) pp. 947-963

Donglin Zeng and D Y Lin

On semiparametric modelling, estimation and inference for survival data subject to dependent censoring (Identifiability of the multinormal and other distributions under competing risks model) pp. 965-979

N W Deresa and I Van Keilegom

Bagging cross-validated bandwidths with application to big data (baggedcv: Bagged cross-validation for kernel density bandwidth selection) pp. 981-988

D Barreiro-Ures, R Cao, M Francisco-Fernández and J D Hart

Nontestability of instrument validity under continuous treatments (Identification of causal effects using instrumental variables) pp. 989-995

F F Gunsilius

Admissible estimators of a multivariate normal mean vector when the scale is unknown (A family of minimax estimators of the mean of a multivariate normal distribution) pp. 997-1003

Y Maruyama and W E Strawderman

Volume 108, issue 3, 2021

Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’ pp. 535-539

Y Zhang and E B Laber

Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’ pp. 541-550

F Richard Guo, Thomas S Richardson and James M Robins

A parsimonious personalized dose-finding model via dimension reduction pp. 643-659

Wenzhuo Zhou, Ruoqing Zhu and Donglin Zeng

Volume 108, issue 2, 2021

A general interactive framework for false discovery rate control under structural constraints (Controlling the false discovery rate via knockoffs) pp. 253-267

Lihua Lei, Aaditya Ramdas and William Fithian

Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation (The E2F family: Specific functions and overlapping interests) pp. 269-282

W van den Boom, G Reeves and D B Dunson

Statistical properties of sketching algorithms (The fast Johnson Lindenstrauss transform and approximate nearest neighbors) pp. 283-297

D C Ahfock, W J Astle and S Richardson

Quasi-oracle estimation of heterogeneous treatment effects (TensorFlow: A system for large-scale machine learning) pp. 299-319

X Nie and S Wager

Inference for treatment effect parameters in potentially misspecified high-dimensional models (Approximate residual balancing: Debiased inference of average treatment effects in high dimensions) pp. 321-334

Oliver Dukes and Stijn Vansteelandt

Specification tests for covariance structures in high-dimensional statistical models (Corrections to LRT on large-dimensional covariance matrix by RMT) pp. 335-351

X Guo and C Y Tang

On the use of a penalized quasilikelihood information criterion for generalized linear mixed models (A new look at the statistical model identification) pp. 353-365

Francis K C Hui

Posterior contraction in sparse generalized linear models (Model selection and minimax estimation in generalized linear models) pp. 367-379

Seonghyun Jeong and Subhashis Ghosal

The uniform general signed rank test and its design sensitivity (A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations) pp. 381-396

S R Howard and S D Pimentel

An assumption-free exact test for fixed-design linear models with exchangeable errors (Rank tests of sub-hypotheses in the general linear regression) pp. 397-412

Lihua Lei and Peter J Bickel

On quadratic forms in multivariate generalized hyperbolic random vectors (Expected shortfall: A natural coherent alternative to value at risk) pp. 413-424

Simon Broda and Juan Arismendi Zambrano

Estimating differential latent variable graphical models with applications to brain connectivity (Machine learning for neuroimaging with scikit-learn) pp. 425-442

S Na, M Kolar and O Koyejo

Lattice-based designs with quasi-optimal separation distance on all projections (A framework for controlling sources of inaccuracy in Gaussian process emulation of deterministic computer experiments) pp. 443-454

Xu He

Poisson reduced-rank models with an application to political text data (Eigenvalue ratio test for the number of factors) pp. 455-468

Carsten Jentsch, Eun Ryung Lee and Enno Mammen

Finite-time analysis of vector autoregressive models under linear restrictions (Nested reduced-rank autogressive models for multiple time series) pp. 469-489

Yao Zheng and Guang Cheng

Nonsmooth backfitting for the excess risk additive regression model with two survival time scales (A linear regression model for the analysis of life times) pp. 491-506

M Hiabu, J P Nielsen and T H Scheike

Volume 108, issue 1, 2021

The asymptotic distribution of modularity in weighted signed networks pp. 1-16

Rong Ma and Ian Barnett

Hypothesis testing for phylogenetic composition: a minimum-cost flow perspective pp. 17-36

Shulei Wang, T Tony Cai and Hongzhe Li

Large-sample asymptotics of the pseudo-marginal method pp. 37-51

S M Schmon, G Deligiannidis, A Doucet and M K Pitt

In search of lost mixing time: adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p pp. 53-69

J E Griffin, K G Łatuszyński and Mark Steel

Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models pp. 71-82

Ioannis Kosmidis and David Firth

Matrix-variate logistic regression with measurement error pp. 83-97

Junhan Fang and Grace Y Yi

Optimal subsampling for quantile regression in big data pp. 99-112

Haiying Wang and Yanyuan Ma

High-quantile regression for tail-dependent time series pp. 113-126

Ting Zhang

High-dimensional empirical likelihood inference pp. 127-147

Jinyuan Chang, Song Chen, Cheng Yong Tang and Tong Tong Wu

An asymptotic and empirical smoothing parameters selection method for smoothing spline ANOVA models in large samples pp. 149-166

Xiaoxiao Sun, Wenxuan Zhong and Ping Ma

Functional regression on the manifold with contamination pp. 167-181

Zhenhua Lin and Fang Yao

Heterogeneous individual risk modelling of recurrent events pp. 183-198

Huijuan Ma, Limin Peng, Chiung-Yu Huang and Haoda Fu

Modelling temporal biomarkers with semiparametric nonlinear dynamical systems pp. 199-214

Ming Sun, Donglin Zeng and Yuanjia Wang

Jump or kink: on super-efficiency in segmented linear regression breakpoint estimation pp. 215-222

Yining Chen

Event history analysis of dynamic networks pp. 223-230

T Sit, Z Ying and Y Yu

Characterization of parameters with a mixed bias property pp. 231-238

Andrea Rotnitzky, E Smucler and J M Robins

Testing for measurement error in survey data analysis using paradata pp. 239-246

D N Da Silva and C J Skinner

A likelihood analysis of quantile-matching transformations pp. 247-251

P McCullagh and M F Tresoldi