# Biometrika
2002 - 2019
Current editor(s): *A C Davison* From Biometrika Trust Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Bibliographic data for series maintained by Oxford University Press (). This e-mail address is bad, please contact . Access Statistics for this journal.
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**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*
**Volume 105, issue 4, 2018**
- Selective inference with unknown variance via the square-root lasso pp. 755-768
*Xiaoying Tian*, *Joshua R Loftus* and *Jonathan E Taylor*
- A convex formulation for high-dimensional sparse sliced inverse regression pp. 769-782
*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
*Tommaso Proietti* and *Alessandro Giovannelli*
- Statistical sparsity pp. 797-814
*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
*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
*I A Eckley* and *G P Nason*
- Model-assisted design of experiments in the presence of network-correlated outcomes pp. 849-858
*Guillaume W Basse* and *Edoardo M Airoldi*
- Wild residual bootstrap inference for penalized quantile regression with heteroscedastic errors pp. 859-872
*Lan Wang*, *Ingrid Van Keilegom* and *Adam Maidman*
- A bootstrap recipe for post-model-selection inference under linear regression models pp. 873-890
*S M S Lee* and *Y Wu*
- The change-plane Cox model pp. 891-903
*Susan Wei* and *Michael R Kosorok*
- Transforming cumulative hazard estimates pp. 905-916
*Pål C Ryalen*, *Mats J Stensrud* and *Kjetil Røysland*
- Integrative linear discriminant analysis with guaranteed error rate improvement pp. 917-930
*Quefeng Li* and *Lexin Li*
- Continuous testing for Poisson process intensities: a new perspective on scanning statistics pp. 931-944
*Franck Picard*, *Patricia Reynaud-Bouret* and *Etienne Roquain*
- Functional prediction through averaging estimated functional linear regression models pp. 945-962
*Xinyu Zhang*, *Jeng-Min Chiou* and *Yanyuan Ma*
- Constructing dynamic treatment regimes over indefinite time horizons pp. 963-977
*Ashkan Ertefaie* and *Robert L Strawderman*
- Principal ignorability in mediation analysis: through and beyond sequential ignorability pp. 979-986
*Laura Forastiere*, *Alessandra Mattei* and *Peng Ding*
- Identifying causal effects with proxy variables of an unmeasured confounder pp. 987-993
*Wang Miao*, *Zhi Geng* and *Eric J Tchetgen Tchetgen*
- Regression-assisted inference for the average treatment effect in paired experiments pp. 994-1000
*Colin B Fogarty*
**Volume 105, issue 3, 2018**
- Assessing replicability of findings across two studies of multiple features pp. 505-516
*Marina Bogomolov* and *Ruth Heller*
- When is the first spurious variable selected by sequential regression procedures? pp. 517-527
*Weijie J Su*
- Asymptotic normality of interpoint distances for high-dimensional data with applications to the two-sample problem pp. 529-546
*Jun Li*
- Symmetric rank covariances: a generalized framework for nonparametric measures of dependence pp. 547-562
*L Weihs*, *M Drton* and *N Meinshausen*
- Shrinking characteristics of precision matrix estimators pp. 563-574
*Aaron J Molstad* and *Adam J Rothman*
- High-dimensional peaks-over-threshold inference pp. 575-592
*R de Fondeville* and *A C Davison*
- Asymptotic properties of approximate Bayesian computation pp. 593-607
*D T Frazier*, *G M Martin*, *C P Robert* and *J Rousseau*
- Variance estimation in the particle filter pp. 609-625
*A Lee* and *N Whiteley*
- A structural break test for extremal dependence in β-mixing random vectors pp. 627-643
*Y Hoga*
- Asymptotic post-selection inference for the Akaike information criterion pp. 645-664
*Ali Charkhi* and *Gerda Claeskens*
- A semiparametric extension of the stochastic block model for longitudinal networks pp. 665-680
*C Matias*, *T Rebafka* and *F Villers*
- Local polynomial regression with correlated errors in random design and unknown correlation structure pp. 681-690
*K De Brabanter*, *F Cao*, *I Gijbels* and *J Opsomer*
- Bayesian spatial monotonic multiple regression pp. 691-707
*C Rohrbeck*, *D A Costain* and *A Frigessi*
- Covariate association eliminating weights: a unified weighting framework for causal effect estimation pp. 709-722
*Sean Yiu* and *Li Su*
- Targeted learning ensembles for optimal individualized treatment rules with time-to-event outcomes pp. 723-738
*I Díaz*, *O Savenkov* and *K Ballman*
- On Bayes factors for the linear model pp. 739-744
*T S Shively* and *S G Walker*
- Sequential rerandomization pp. 745-752
*Quan Zhou*, *Philip A Ernst*, *Kari Lock Morgan*, *Donald B Rubin* and *Anru Zhang*
- Amendments and Corrections pp. 753-753
*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
*Yin Xia*, *T Tony Cai* and *Hongzhe Li*
- Robust estimation of high-dimensional covariance and precision matrices pp. 271-284
*Marco Avella-Medina*, *Heather S Battey*, *Jianqing Fan* and *Quefeng Li*
- On the asymptotic efficiency of approximate Bayesian computation estimators pp. 285-299
*Wentao Li* and *Paul Fearnhead*
- Convergence of regression-adjusted approximate Bayesian computation pp. 301-318
*Wentao Li* and *Paul Fearnhead*
- Adaptive multigroup confidence intervals with constant coverage pp. 319-335
*C Yu* and *P D Hoff*
- Testing independence for multivariate time series via the auto-distance correlation matrix pp. 337-352
*K Fokianos* and *M Pitsillou*
- A frequency domain analysis of the error distribution from noisy high-frequency data pp. 353-369
*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
*H Massam*, *Q Li* and *X Gao*
- On the number of principal components in high dimensions pp. 389-402
*Sungkyu Jung*, *Myung Hee Lee* and *Jeongyoun Ahn*
- Semiparametric regression analysis for composite endpoints subject to componentwise censoring pp. 403-418
*Guoqing Diao*, *Donglin Zeng*, *Chunlei Ke*, *Haijun Ma*, *Qi Jiang* and *Joseph G Ibrahim*
- Design-based maps for continuous spatial populations pp. 419-429
*L Fattorini*, *M Marcheselli*, *C Pisani* and *L Pratelli*
- Theoretical limits of microclustering for record linkage pp. 431-446
*J E Johndrow*, *K Lum* and *D B Dunson*
- On edge correction of conditional and intrinsic autoregressions pp. 447-454
*D Mondal*
- A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions pp. 455-462
*O Cronie* and *M N M Van Lieshout*
- Bootstrapping volatility functionals: a local and nonparametric perspective pp. 463-469
*Xin-Bing Kong*, *Shao-Jun Xu* and *Wang Zhou*
- On the connection between maximin distance designs and orthogonal designs pp. 471-477
*Yaping Wang*, *Jianfeng Yang* and *Hongquan Xu*
- Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse pp. 479-486
*Jiwei Zhao* and *Yanyuan Ma*
- Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores pp. 487-493
*S Yang* and *P Ding*
- Uniformly minimum variance conditionally unbiased estimation in multi-arm multi-stage clinical trials pp. 495-501
*Nigel Stallard* and *Peter K Kimani*
- Asymptotic properties of penalized spline estimators pp. 503-503
*G Claeskens*, *T Krivobokova* and *J D Opsomer*
**Volume 105, issue 1, 2018**
- Dual regression pp. 1-18
*R H Spady* and *Sami Stouli*
- A structural Markov property for decomposable graph laws that allows control of clique intersections pp. 19-29
*Peter J Green* and *Alun Thomas*
- Robust and consistent variable selection in high-dimensional generalized linear models pp. 31-44
*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
*Peng Ding* and *Tirthankar Dasgupta*
- Testing for the presence of significant covariates through conditional marginal regression pp. 57-71
*Yanlin Tang*, *Huixia Judy Wang* and *Emre Barut*
- A robust goodness-of-fit test for generalized autoregressive conditional heteroscedastic models pp. 73-89
*Yao Zheng*, *Wai Keung Li* and *Guodong Li*
- Approximate Bayesian inference under informative sampling pp. 91-102
*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
*L W Miratrix*, *S Wager* and *J R Zubizarreta*
- Two-sample tests of high-dimensional means for compositional data pp. 115-132
*Yuanpei Cao*, *Wei Lin* and *Hongzhe Li*
- Partial likelihood estimation of isotonic proportional hazards models pp. 133-148
*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
*Myoung-jae Lee*
- Scalar-on-image regression via the soft-thresholded Gaussian process pp. 165-184
*Jian Kang*, *Brian J Reich* and *Ana-Maria Staicu*
- Optimal discrimination designs for semiparametric models pp. 185-197
*H Dette*, *R Guchenko*, *V B Melas* and *W K Wong*
- Kernel-based covariate functional balancing for observational studies pp. 199-213
*Raymond K W Wong* and *Kwun Chuen Gary Chan*
- On causal estimation using $U$-statistics pp. 215-220
*Lu Mao*
- On overfitting and post-selection uncertainty assessments pp. 221-224
*L Hong*, *T A Kuffner* and *R Martin*
- A conditional composite likelihood ratio test with boundary constraints pp. 225-232
*Yong Chen*, *Jing Huang*, *Yang Ning*, *Kung-Yee Liang* and *Bruce G Lindsay*
- On bias reduction and incidental parameters pp. 233-238
*N Lunardon*
- Choosing between methods of combining $p$-values pp. 239-246
*N A Heard* and *P Rubin-Delanchy*
- On the degrees of freedom of reduced-rank estimators in multivariate regression pp. 247-247
*A Mukherjee*, *K Chen*, *N Wang* and *J Zhu*
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