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Biometrika

2002 - 2019

Current editor(s): A C Davison

From Biometrika Trust
Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.

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Volume 106, issue 1, 2019

Gene hunting with hidden Markov model knockoffs pp. 1-18 Downloads
M Sesia, C Sabatti and E J Candès
Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 19-22 Downloads
L Bottolo and S Richardson
Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 23-26 Downloads
S W Jewell and D M Witten
Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 27-28 Downloads
J L Marchini
Discussion of ‘Gene hunting with hidden Markov model knockoffs’ pp. 29-33 Downloads
Jonathan D Rosenblatt, Ya’acov Ritov and Jelle J Goeman
Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’ pp. 35-45 Downloads
M Sesia, C Sabatti and E J Candès
Testing for independence in arbitrary distributions pp. 47-68 Downloads
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 Downloads
Aaditya Ramdas, Jianbo Chen, Martin J Wainwright and Michael I Jordan
Nonparametric regression with adaptive truncation via a convex hierarchical penalty pp. 87-107 Downloads
Asad Haris, Ali Shojaie and Noah Simon
Constrained likelihood for reconstructing a directed acyclic Gaussian graph pp. 109-125 Downloads
Yiping Yuan, Xiaotong Shen, Wei Pan and Zizhuo Wang
Extremal behaviour of aggregated data with an application to downscaling pp. 127-144 Downloads
Sebastian Engelke, Raphaël De Fondeville and Marco Oesting
Recovering covariance from functional fragments pp. 145-160 Downloads
Descary M-H and V M Panaretos
Classification of functional fragments by regularized linear classifiers with domain selection pp. 161-180 Downloads
David Kraus and Marco Stefanucci
Counting process-based dimension reduction methods for censored outcomes pp. 181-196 Downloads
Qiang Sun, Ruoqing Zhu, Tao Wang and Donglin Zeng
Low-risk population size estimates in the presence of capture heterogeneity pp. 197-210 Downloads
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 Downloads
U U Müller and Ingrid Van Keilegom
Semiparametric inference for the dominance index under the density ratio model pp. 229-241 Downloads
W W Zhuang, B Y Hu and J Chen
Signal-plus-noise matrix models: eigenvector deviations and fluctuations pp. 243-250 Downloads
J Cape, M Tang and C E Priebe

Volume 105, issue 4, 2018

Selective inference with unknown variance via the square-root lasso pp. 755-768 Downloads
Xiaoying Tian, Joshua R Loftus and Jonathan E Taylor
A convex formulation for high-dimensional sparse sliced inverse regression pp. 769-782 Downloads
Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu and R Dennis Cook
A Durbin–Levinson regularized estimator of high-dimensional autocovariance matrices pp. 783-795 Downloads
Tommaso Proietti and Alessandro Giovannelli
Statistical sparsity pp. 797-814 Downloads
Peter McCullagh and Nicholas G Polson
A test of weak separability for multi-way functional data, with application to brain connectivity studies pp. 815-831 Downloads
Brian Lynch and Kehui Chen
A test for the absence of aliasing or local white noise in locally stationary wavelet time series pp. 833-848 Downloads
I A Eckley and G P Nason
Model-assisted design of experiments in the presence of network-correlated outcomes pp. 849-858 Downloads
Guillaume W Basse and Edoardo M Airoldi
Wild residual bootstrap inference for penalized quantile regression with heteroscedastic errors pp. 859-872 Downloads
Lan Wang, Ingrid Van Keilegom and Adam Maidman
A bootstrap recipe for post-model-selection inference under linear regression models pp. 873-890 Downloads
S M S Lee and Y Wu
The change-plane Cox model pp. 891-903 Downloads
Susan Wei and Michael R Kosorok
Transforming cumulative hazard estimates pp. 905-916 Downloads
Pål C Ryalen, Mats J Stensrud and Kjetil Røysland
Integrative linear discriminant analysis with guaranteed error rate improvement pp. 917-930 Downloads
Quefeng Li and Lexin Li
Continuous testing for Poisson process intensities: a new perspective on scanning statistics pp. 931-944 Downloads
Franck Picard, Patricia Reynaud-Bouret and Etienne Roquain
Functional prediction through averaging estimated functional linear regression models pp. 945-962 Downloads
Xinyu Zhang, Jeng-Min Chiou and Yanyuan Ma
Constructing dynamic treatment regimes over indefinite time horizons pp. 963-977 Downloads
Ashkan Ertefaie and Robert L Strawderman
Principal ignorability in mediation analysis: through and beyond sequential ignorability pp. 979-986 Downloads
Laura Forastiere, Alessandra Mattei and Peng Ding
Identifying causal effects with proxy variables of an unmeasured confounder pp. 987-993 Downloads
Wang Miao, Zhi Geng and Eric J Tchetgen Tchetgen
Regression-assisted inference for the average treatment effect in paired experiments pp. 994-1000 Downloads
Colin B Fogarty

Volume 105, issue 3, 2018

Assessing replicability of findings across two studies of multiple features pp. 505-516 Downloads
Marina Bogomolov and Ruth Heller
When is the first spurious variable selected by sequential regression procedures? pp. 517-527 Downloads
Weijie J Su
Asymptotic normality of interpoint distances for high-dimensional data with applications to the two-sample problem pp. 529-546 Downloads
Jun Li
Symmetric rank covariances: a generalized framework for nonparametric measures of dependence pp. 547-562 Downloads
L Weihs, M Drton and N Meinshausen
Shrinking characteristics of precision matrix estimators pp. 563-574 Downloads
Aaron J Molstad and Adam J Rothman
High-dimensional peaks-over-threshold inference pp. 575-592 Downloads
R de Fondeville and A C Davison
Asymptotic properties of approximate Bayesian computation pp. 593-607 Downloads
D T Frazier, G M Martin, C P Robert and J Rousseau
Variance estimation in the particle filter pp. 609-625 Downloads
A Lee and N Whiteley
A structural break test for extremal dependence in β-mixing random vectors pp. 627-643 Downloads
Y Hoga
Asymptotic post-selection inference for the Akaike information criterion pp. 645-664 Downloads
Ali Charkhi and Gerda Claeskens
A semiparametric extension of the stochastic block model for longitudinal networks pp. 665-680 Downloads
C Matias, T Rebafka and F Villers
Local polynomial regression with correlated errors in random design and unknown correlation structure pp. 681-690 Downloads
K De Brabanter, F Cao, I Gijbels and J Opsomer
Bayesian spatial monotonic multiple regression pp. 691-707 Downloads
C Rohrbeck, D A Costain and A Frigessi
Covariate association eliminating weights: a unified weighting framework for causal effect estimation pp. 709-722 Downloads
Sean Yiu and Li Su
Targeted learning ensembles for optimal individualized treatment rules with time-to-event outcomes pp. 723-738 Downloads
I Díaz, O Savenkov and K Ballman
On Bayes factors for the linear model pp. 739-744 Downloads
T S Shively and S G Walker
Sequential rerandomization pp. 745-752 Downloads
Quan Zhou, Philip A Ernst, Kari Lock Morgan, Donald B Rubin and Anru Zhang
Amendments and Corrections pp. 753-753 Downloads
Francisco Blasques, Siem Jan Koopman and Andre Lucas

Volume 105, issue 2, 2018

Joint testing and false discovery rate control in high-dimensional multivariate regression pp. 249-269 Downloads
Yin Xia, T Tony Cai and Hongzhe Li
Robust estimation of high-dimensional covariance and precision matrices pp. 271-284 Downloads
Marco Avella-Medina, Heather S Battey, Jianqing Fan and Quefeng Li
On the asymptotic efficiency of approximate Bayesian computation estimators pp. 285-299 Downloads
Wentao Li and Paul Fearnhead
Convergence of regression-adjusted approximate Bayesian computation pp. 301-318 Downloads
Wentao Li and Paul Fearnhead
Adaptive multigroup confidence intervals with constant coverage pp. 319-335 Downloads
C Yu and P D Hoff
Testing independence for multivariate time series via the auto-distance correlation matrix pp. 337-352 Downloads
K Fokianos and M Pitsillou
A frequency domain analysis of the error distribution from noisy high-frequency data pp. 353-369 Downloads
Jinyuan Chang, Aurore Delaigle, Peter Hall and Cheng Yong Tang
Bayesian precision and covariance matrix estimation for graphical Gaussian models with edge and vertex symmetries pp. 371-388 Downloads
H Massam, Q Li and X Gao
On the number of principal components in high dimensions pp. 389-402 Downloads
Sungkyu Jung, Myung Hee Lee and Jeongyoun Ahn
Semiparametric regression analysis for composite endpoints subject to componentwise censoring pp. 403-418 Downloads
Guoqing Diao, Donglin Zeng, Chunlei Ke, Haijun Ma, Qi Jiang and Joseph G Ibrahim
Design-based maps for continuous spatial populations pp. 419-429 Downloads
L Fattorini, M Marcheselli, C Pisani and L Pratelli
Theoretical limits of microclustering for record linkage pp. 431-446 Downloads
J E Johndrow, K Lum and D B Dunson
On edge correction of conditional and intrinsic autoregressions pp. 447-454 Downloads
D Mondal
A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions pp. 455-462 Downloads
O Cronie and M N M Van Lieshout
Bootstrapping volatility functionals: a local and nonparametric perspective pp. 463-469 Downloads
Xin-Bing Kong, Shao-Jun Xu and Wang Zhou
On the connection between maximin distance designs and orthogonal designs pp. 471-477 Downloads
Yaping Wang, Jianfeng Yang and Hongquan Xu
Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse pp. 479-486 Downloads
Jiwei Zhao and Yanyuan Ma
Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores pp. 487-493 Downloads
S Yang and P Ding
Uniformly minimum variance conditionally unbiased estimation in multi-arm multi-stage clinical trials pp. 495-501 Downloads
Nigel Stallard and Peter K Kimani
Asymptotic properties of penalized spline estimators pp. 503-503 Downloads
G Claeskens, T Krivobokova and J D Opsomer

Volume 105, issue 1, 2018

Dual regression pp. 1-18 Downloads
R H Spady and Sami Stouli
A structural Markov property for decomposable graph laws that allows control of clique intersections pp. 19-29 Downloads
Peter J Green and Alun Thomas
Robust and consistent variable selection in high-dimensional generalized linear models pp. 31-44 Downloads
Marco Avella-Medina and Elvezio Ronchetti
A randomization-based perspective on analysis of variance: a test statistic robust to treatment effect heterogeneity pp. 45-56 Downloads
Peng Ding and Tirthankar Dasgupta
Testing for the presence of significant covariates through conditional marginal regression pp. 57-71 Downloads
Yanlin Tang, Huixia Judy Wang and Emre Barut
A robust goodness-of-fit test for generalized autoregressive conditional heteroscedastic models pp. 73-89 Downloads
Yao Zheng, Wai Keung Li and Guodong Li
Approximate Bayesian inference under informative sampling pp. 91-102 Downloads
Zhao-Hua Wang, J K Kim and S Yang
Shape-constrained partial identification of a population mean under unknown probabilities of sample selection pp. 103-114 Downloads
L W Miratrix, S Wager and J R Zubizarreta
Two-sample tests of high-dimensional means for compositional data pp. 115-132 Downloads
Yuanpei Cao, Wei Lin and Hongzhe Li
Partial likelihood estimation of isotonic proportional hazards models pp. 133-148 Downloads
Yunro Chung, Anastasia Ivanova, Michael G Hudgens and Jason P Fine
Simple least squares estimator for treatment effects using propensity score residuals pp. 149-164 Downloads
Myoung-jae Lee
Scalar-on-image regression via the soft-thresholded Gaussian process pp. 165-184 Downloads
Jian Kang, Brian J Reich and Ana-Maria Staicu
Optimal discrimination designs for semiparametric models pp. 185-197 Downloads
H Dette, R Guchenko, V B Melas and W K Wong
Kernel-based covariate functional balancing for observational studies pp. 199-213 Downloads
Raymond K W Wong and Kwun Chuen Gary Chan
On causal estimation using $U$-statistics pp. 215-220 Downloads
Lu Mao
On overfitting and post-selection uncertainty assessments pp. 221-224 Downloads
L Hong, T A Kuffner and R Martin
A conditional composite likelihood ratio test with boundary constraints pp. 225-232 Downloads
Yong Chen, Jing Huang, Yang Ning, Kung-Yee Liang and Bruce G Lindsay
On bias reduction and incidental parameters pp. 233-238 Downloads
N Lunardon
Choosing between methods of combining $p$-values pp. 239-246 Downloads
N A Heard and P Rubin-Delanchy
On the degrees of freedom of reduced-rank estimators in multivariate regression pp. 247-247 Downloads
A Mukherjee, K Chen, N Wang and J Zhu
Page updated 2019-10-17