# Biometrika
2002 - 2017
Current editor(s): *A C Davison* From Biometrika Trust Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Series data maintained by Oxford University Press (). Access Statistics for this journal.
Track citations for all items by RSS feed
Is something missing from the series or not right? See the RePEc data check for the archive and series.
**Volume 104, issue 1, 2017**
- Erratum: On falsification of the binary instrumental variable model pp. e1-e1
*Linbo Wang*, *James M. Robins* and *Thomas S. Richardson*
- Should annual maximum temperatures follow a generalized extreme value distribution? pp. 1-16
*M. L. Stein*
- Erratum: Testing for high-dimensional white noise using maximum cross-correlations pp. e2-e2
*Jinyuan Chang*, *Qiwei Yao* and *Wen Zhou*
- Case-cohort studies with interval-censored failure time data pp. 17-29
*Q. Zhou*, *H. Zhou* and *J. Cai*
- Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach pp. 31-50
*Aurelie Bertrand*, *Catherine Legrand*, *Raymond J. Carroll*, *Christophe de Meester* and *Ingrid Van Keilegom*
- On estimating regression-based causal effects using sufficient dimension reduction pp. 51-65
*Wei Luo*, *Yeying Zhu* and *Debashis Ghosh*
- Principal weighted support vector machines for sufficient dimension reduction in binary classification pp. 67-81
*Seung Jun Shin*, *Yichao Wu*, *Hao Helen Zhang* and *Yufeng Liu*
- Regression modelling on stratified data with the lasso pp. 83-96
*E. Ollier* and *V. Viallon*
- Selective factor extraction in high dimensions pp. 97-110
*Yiyuan She*
- Testing for high-dimensional white noise using maximum cross-correlations pp. 111-127
*Jinyuan Chang*, *Qiwei Yao* and *Wen Zhou*
- Generalized R-squared for detecting dependence pp. 129-139
*X. Wang*, *B. Jiang* and *J. S. Liu*
- Density estimation in the two-sample problem with likelihood ratio ordering pp. 141-152
*Tao Yu*, *Pengfei Li* and *Jing Qin*
- On asymptotic validity of naive inference with an approximate likelihood pp. 153-164
*H. E. Ogden*
- On pseudolikelihood inference for semiparametric models with boundary problems pp. 165-179
*Y. Chen*, *J. Ning*, *Y. Ning*, *K.-Y. Liang* and *K. Bandeen-Roche*
- Roy’s largest root test under rank-one alternatives pp. 181-193
*I. M. Johnstone* and *B. Nadler*
- Design-based asymptotics for two-phase sampling strategies in environmental surveys pp. 195-205
*L. Fattorini*, *M. Marcheselli*, *C. Pisani* and *L. Pratelli*
- Itemwise conditionally independent nonresponse modelling for incomplete multivariate data pp. 207-220
*Mauricio Sadinle* and *Jerome P. Reiter*
- A note on multiple imputation under complex sampling pp. 221-228
*J. K. Kim* and *S. Yang*
- On falsification of the binary instrumental variable model pp. 229-236
*Linbo Wang*, *James M. Robins* and *Thomas S. Richardson*
- Modelling structured correlation matrices pp. 237-242
*Ruey S. Tsay* and *Mohsen Pourahmadi*
- Modified marginal expected shortfall under asymptotic dependence pp. 243-249
*J.-J. Cai*, *V. Chavez-Demoulin* and *A. Guillou*
**Volume 103, issue 4, 2016**
- Some pioneers of modern statistical theory: a personal reflection pp. 747-759
*D. R. Cox*
- Replicates in high dimensions, with applications to latent variable graphical models pp. 761-777
*Kean Ming Tan*, *Yang Ning*, *Daniela M. Witten* and *Han Liu*
- Approximating fragmented functional data by segments of Markov chains pp. 779-799
*A. Delaigle* and *P. Hall*
- Misclassified group-tested current status data pp. 801-815
*L. C. Petito* and *N. P. Jewell*
- Optimal stratification in outcome prediction using baseline information pp. 817-828
*Florence H. Yong*, *Lu Tian*, *Sheng Yu*, *Tianxi Cai* and *L. J. Wei*
- On inverse probability-weighted estimators in the presence of interference pp. 829-842
*L. Liu*, *M. G. Hudgens* and *S. Becker-Dreps*
- In-sample forecasting with local linear survival densities pp. 843-859
*M. Hiabu*, *E. Mammen*, *M. D. Martìnez-Miranda* and *J. P. Nielsen*
- Combining eigenvalues and variation of eigenvectors for order determination pp. 875-887
*Wei Luo* and *Bing Li*
- Nonnested model comparisons for time series pp. 905-914
*T. S. McElroy*
- Multivariate spatial covariance models: a conditional approach pp. 915-935
*Noel Cressie* and *Andrew Zammit-Mangion*
- The cylindrical $K$-function and Poisson line cluster point processes pp. 937-954
*Jesper Møller*, *Farzaneh Safavimanesh* and *Jakob Gulddahl Rasmussen*
- Default Bayesian analysis with global-local shrinkage priors pp. 955-969
*Anindya Bhadra*, *Jyotishka Datta*, *Nicholas G. Polson* and *Brandon Willard*
- Bayesian inference on quasi-sparse count data pp. 971-983
*Jyotishka Datta* and *David B. Dunson*
- A conditional Lindley paradox in Bayesian linear models pp. 993-999
*Agniva Som*, *Christopher M Hans* and *Steven N MacEachern*
**Volume 103, issue 3, 2016**
- Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics pp. 493-511
*Yuying Xie*, *Yufeng Liu* and *William Valdar*
- On an additive partial correlation operator and nonparametric estimation of graphical models pp. 513-530
*Kuang-Yao Lee*, *Bing Li* and *Hongyu Zhao*
- The correlation space of Gaussian latent tree models and model selection without fitting pp. 531-545
*N. Shiers*, *P. Zwiernik*, *J. A. D. Aston* and *J. Q. Smith*
- Variable selection for case-cohort studies with failure time outcome pp. 547-562
*Ai Ni*, *Jianwen Cai* and *Donglin Zeng*
- A differential-geometric approach to generalized linear models with grouped predictors pp. 563-577
*Luigi Augugliaro*, *Angelo M. Mineo* and *Ernst C. Wit*
- Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression pp. 579-593
*Z. Su*, *G. Zhu*, *X. Chen* and *Y. Yang*
- Indirect multivariate response linear regression pp. 595-607
*Aaron J. Molstad* and *Adam J. Rothman*
- An adaptive two-sample test for high-dimensional means pp. 609-624
*Gongjun Xu*, *Lifeng Lin*, *Peng Wei* and *Wei Pan*
- Accurate directional inference for vector parameters pp. 625-639
*D. A. S. Fraser*, *N. Reid* and *N. Sartori*
- Distribution of likelihood-based p-values under a local alternative hypothesis pp. 641-652
*Stephen M. S. Lee* and *G. Alastair Young*
- A theoretical study of Stein's covariance estimator pp. 653-666
*Bala Rajaratnam* and *Dario Vincenzi*
- A Bayesian view of doubly robust causal inference pp. 667-681
*O. Saarela*, *L. R. Belzile* and *D. A. Stephens*
- Intrinsic efficiency and multiple robustness in longitudinal studies with drop-out pp. 683-700
*Peisong Han*
- Particle Metropolis-adjusted Langevin algorithms pp. 701-717
*Christopher Nemeth*, *Chris Sherlock* and *Paul Fearnhead*
- On random- and systematic-scan samplers pp. 719-726
*C. Andrieu*
- Bootstrap-based testing of equality of mean functions or equality of covariance operators for functional data pp. 727-733
*E. Paparoditis* and *T. Sapatinas*
- A goodness-of-fit test for structural nested mean models pp. 734-741
*S. Yang* and *J. J. Lok*
- On the win-ratio statistic in clinical trials with multiple types of event pp. 742-745
*D. Oakes*
**Volume 103, issue 2, 2016**
- Maximum likelihood estimation for semiparametric transformation models with interval-censored data pp. 253-271
*Donglin Zeng*, *Lu Mao* and *D. Y. Lin*
- Nonparametric maximum likelihood estimation for the multisample Wicksell corpuscle problem pp. 273-286
*Kwun Chuen Gary Chan* and *Jing Qin*
- Regression analysis of networked data pp. 287-301
*Yan Zhou* and *Peter X.-K. Song*
- Exact simulation of max-stable processes pp. 303-317
*Clément Dombry*, *Sebastian Engelke* and *Marco Oesting*
- Data augmentation for models based on rejection sampling pp. 319-335
*Vinayak Rao*, *Lizhen Lin* and *David B. Dunson*
- Exponential tilting in Bayesian asymptotics pp. 337-349
*S. A. Kharroubi* and *T. J. Sweeting*
- Partial least squares for dependent data pp. 351-362
*Marco Singer*, *Tatyana Krivobokova*, *Axel Munk* and *Bert de Groot*
- Skew-normal antedependence models for skewed longitudinal data pp. 363-376
*Shu-Ching Chang* and *Dale L. Zimmerman*
- A pairwise interaction model for multivariate functional and longitudinal data pp. 377-396
*Jeng-Min Chiou* and *Hans-Georg Müller*
- On exchangeable multinomial distributions pp. 397-408
*E. Olusegun George*, *Kyeongmi Cheon*, *Yilian Yuan* and *Aniko Szabo*
- A pairwise likelihood-based approach for changepoint detection in multivariate time series models pp. 409-421
*Ting Fung Ma* and *Chun Yip Yau*
- Nonparametric identification and maximum likelihood estimation for hidden Markov models pp. 423-434
*G. Alexandrovich*, *H. Holzmann* and *A. Leister*
- Quantile-based classifiers pp. 435-446
*C. Hennig* and *C. Viroli*
- Modelling complex survey data with population level information: an empirical likelihood approach pp. 447-459
*M. Oguz-Alper* and *Y. G. Berger*
- Calibrated propensity score method for survey nonresponse in cluster sampling pp. 461-473
*Jae Kwang Kim*, *Yongchan Kwon* and *Myunghee Cho Paik*
- On varieties of doubly robust estimators under missingness not at random with a shadow variable pp. 475-482
*Wang Miao* and *Eric J. Tchetgen Tchetgen*
- Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding pp. 483-490
*Peng Ding* and *Tyler J. Vanderweele*
- Clarifying missing at random and related definitions, and implications when coupled with exchangeability pp. 491
*Fabrizia Mealli* and *Donald B. Rubin*
- Retraction Notice pp. e1
*Paul R. Rosenbaum*
**Volume 103, issue 1, 2016**
- Empirical Bayes deconvolution estimates pp. 1-20
*Bradley Efron*
- High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference pp. 21-34
*Lee H. Dicker* and *Sihai D. Zhao*
- Nonparametric Bayes inference on conditional independence pp. 35-47
*Tsuyoshi Kunihama* and *David B. Dunson*
- Going off grid: computationally efficient inference for log-Gaussian Cox processes pp. 49-70
*D. Simpson*, *J. B. Illian*, *F. Lindgren*, *S. H. Sørbye* and *H. Rue*
- Spatial regression models over two-dimensional manifolds pp. 71-88
*B. Ettinger*, *S. Perotto* and *L. M. Sangalli*
- Stochastic mechanistic interaction pp. 89-102
*Carlo Berzuini* and *A. Philip Dawid*
- Fréchet integration and adaptive metric selection for interpretable covariances of multivariate functional data pp. 103-120
*Alexander Petersen* and *Hans-Georg Müller*
- A unified framework for spline estimators pp. 121-131
*Katsiaryna Schwarz* and *Tatyana Krivobokova*
- Goodness-of-fit test in parametric mixed effects models based on estimation of the error distribution pp. 133-146
*Wenceslao González-Manteiga*, *María Dolores Martínez-Miranda* and *Ingrid Van Keilegom*
- Partially functional linear regression in high dimensions pp. 147-159
*Dehan Kong*, *Kaijie Xue*, *Fang Yao* and *Hao H. Zhang*
- Semiparametric approach to regression with a covariate subject to a detection limit pp. 161-174
*Shengchun Kong* and *Bin Nan*
- Semiparametric inverse propensity weighting for nonignorable missing data pp. 175-187
*Jun Shao* and *Lei Wang*
- An estimating equation approach to dimension reduction for longitudinal data pp. 189-203
*Kelin Xu*, *Wensheng Guo*, *Momiao Xiong*, *Liping Zhu* and *Li Jin*
- On distributions of ratios pp. 205-218
*Simon Broda* and *Raymond Kan*
- Some matched comparisons of two distributions of survival time pp. 219-224
*Christiana Kartsonaki* and *D. R. Cox*
- Towards a unification of second-order theory for likelihood and marginal composite likelihood pp. 225-230
*N. Lunardon*
- Higher dimensional Clayton–Oakes models for multivariate failure time data pp. 231-236
*R. L. Prentice*
- Improving Holm's procedure using pairwise dependencies pp. 237-243
*Sanat K. Sarkar*, *Yiyong Fu* and *Wenge Guo*
- A note on multiple imputation for method of moments estimation pp. 244-251
*S. Yang* and *J. K. Kim*
| |