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 106, issue 4, 2019

Fast exact conformalization of the lasso using piecewise linear homotopy pp. 749-764

J Lei

Conjugate Bayes for probit regression via unified skew-normal distributions pp. 765-779

Daniele Durante

Bootstrapping spectral statistics in high dimensions pp. 781-801

Miles E Lopes, Andrew Blandino and Alexander Aue

Fréchet analysis of variance for random objects pp. 803-821

Paromita Dubey and Hans-Georg Müller

Accounting for unobserved covariates with varying degrees of estimability in high-dimensional biological data pp. 823-840

Chris McKennan and Dan Nicolae

Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing pp. 841-856

Jelle J Goeman, Rosa J Meijer, Thijmen J P Krebs and Aldo Solari

Network dependence testing via diffusion maps and distance-based correlations pp. 857-873

Youjin Lee, Cencheng Shen, Carey E Priebe and Joshua T Vogelstein

Causal inference with confounders missing not at random pp. 875-888

S Yang, L Wang and P Ding

Sequentially additive nonignorable missing data modelling using auxiliary marginal information pp. 889-911

Mauricio Sadinle and Jerome P Reiter

Tyler shape depth pp. 913-927

D Paindaveine and G Van Bever

Testing for arbitrary interference on experimentation platforms pp. 929-940

J Pouget-Abadie, G Saint-Jacques, M Saveski, W Duan, S Ghosh, Y Xu and E M Airoldi

Semiparametric segment M-estimation for locally stationary diffusions pp. 941-956

P -Y Deléamont and D La Vecchia

Distributional consistency of the lasso by perturbation bootstrap pp. 957-964

Debraj Das and S N Lahiri

Within-cluster resampling for multilevel models under informative cluster size pp. 965-972

D Lee, J K Kim and C J Skinner

On causal discovery with an equal-variance assumption pp. 973-980

Wenyu Chen, Mathias Drton and Y Samuel Wang

Bayesian jackknife empirical likelihood pp. 981-988

Y Cheng and Y Zhao

On nonparametric maximum likelihood estimation with double truncation pp. 989-996

J Xiao and M G Hudgens

Column-orthogonal strong orthogonal arrays of strength two plus and three minus pp. 997-1004

Yongdao Zhou and Boxin Tang

Volume 106, issue 2, 2019

The debiased Whittle likelihood pp. 251-266

Adam M Sykulski, Sofia C Olhede, Arthur P Guillaumin, Jonathan M Lilly and Jeffrey J Early

Spectral density estimation for random fields via periodic embeddings pp. 267-286

Joseph Guinness

Unbiased Hamiltonian Monte Carlo with couplings pp. 287-302

J Heng and P E Jacob

Kinetic energy choice in Hamiltonian/hybrid Monte Carlo pp. 303-319

S Livingstone, M F Faulkner and G O Roberts

Multivariate output analysis for Markov chain Monte Carlo pp. 321-337

Dootika Vats, James M Flegal and Galin L Jones

Wasserstein covariance for multiple random densities pp. 339-351

Alexander Petersen and Hans-Georg Müller

Integrating the evidence from evidence factors in observational studies pp. 353-367

B Karmakar, B French and D S Small

Pseudo-population bootstrap methods for imputed survey data pp. 369-384

S Chen, D Haziza, C Léger and Z Mashreghi

Bootstrap of residual processes in regression: to smooth or not to smooth? pp. 385-400

N Neumeyer and I Van Keilegom

Differential Markov random field analysis with an application to detecting differential microbial community networks pp. 401-416

T T Cai, H Li, J Ma and Y Xia

Sufficient direction factor model and its application to gene expression quantitative trait loci discovery pp. 417-432

F Jiang, Y Ma and Yi-Ming Wei

Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series pp. 433-452

A Tank, E B Fox and A Shojaie

Interleaved lattice-based maximin distance designs pp. 453-464

Xu He

General Bayesian updating and the loss-likelihood bootstrap pp. 465-478

S P Lyddon, C C Holmes and S G Walker

Calibrating general posterior credible regions pp. 479-486

Nicholas Syring and Ryan Martin

Randomization tests of causal effects under interference pp. 487-494

G W Basse, A Feller and P Toulis

Hierarchical Bayes versus empirical Bayes density predictors under general divergence loss pp. 495-500

M Ghosh and T Kubokawa

Volume 106, issue 1, 2019

Gene hunting with hidden Markov model knockoffs pp. 1-18

M Sesia, C Sabatti and E J Candès

Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 19-22

L Bottolo and S Richardson

Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 23-26

S W Jewell and D M Witten

Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 27-28

J L Marchini

Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 29-33

Jonathan D Rosenblatt, Ya’acov Ritov and Jelle J Goeman

Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’ pp. 35-45

M Sesia, C Sabatti and E J Candès

Testing for independence in arbitrary distributions pp. 47-68

C Genest, J G Nešlehová, B Rémillard and O A Murphy

A sequential algorithm for false discovery rate control on directed acyclic graphs pp. 69-86

Aaditya Ramdas, Jianbo Chen, Martin J Wainwright and Michael I Jordan

Nonparametric regression with adaptive truncation via a convex hierarchical penalty pp. 87-107

Asad Haris, Ali Shojaie and Noah Simon

Constrained likelihood for reconstructing a directed acyclic Gaussian graph pp. 109-125

Yiping Yuan, Xiaotong Shen, Wei Pan and Zizhuo Wang

Extremal behaviour of aggregated data with an application to downscaling pp. 127-144

Sebastian Engelke, Raphaël De Fondeville and Marco Oesting

Recovering covariance from functional fragments pp. 145-160

Descary M-H and V M Panaretos

Classification of functional fragments by regularized linear classifiers with domain selection pp. 161-180

David Kraus and Marco Stefanucci

Counting process-based dimension reduction methods for censored outcomes pp. 181-196

Qiang Sun, Ruoqing Zhu, Tao Wang and Donglin Zeng

Low-risk population size estimates in the presence of capture heterogeneity pp. 197-210

J E Johndrow, K Lum and D Manrique-Vallier

Goodness-of-fit tests for the cure rate in a mixture cure model pp. 211-227

U U Müller and Ingrid Van Keilegom

Semiparametric inference for the dominance index under the density ratio model pp. 229-241

W W Zhuang, B Y Hu and J Chen

Signal-plus-noise matrix models: eigenvector deviations and fluctuations pp. 243-250

J Cape, M Tang and C E Priebe