Biometrika

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  Publication Venue For

  • Multi-scale Fisher's independence test for multivariate dependence..  109:569-587. 2022
  • Rejoinder: ‘Multi-scale Fisher’s independence test for multivariate dependence’.  109:605-609. 2022
  • High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis.  109:405-420. 2022
  • Erratum: Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation (Biometrika (2021) 108 (269-282) DOI: 10.1093/biomet/asaa068).  109:275. 2022
  • Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation..  108:269-282. 2021
  • Efficient posterior sampling for high-dimensional imbalanced logistic regression..  107:1005-1012. 2020
  • Bayesian cumulative shrinkage for infinite factorizations..  107:745-752. 2020
  • Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods.  107:365-380. 2020
  • Bayesian constraint relaxation..  107:191-204. 2020
  • Multisample estimation of bacterial composition matrices in metagenomics data.  107:75-92. 2020
  • The Hastings algorithm at fifty.  107:1-23. 2020
  • Sequentially additive nonignorable missing data modelling using auxiliary marginal information.  106:889-911. 2019
  • Sequential rerandomization.  105:745-752. 2018
  • Theoretical limits of microclustering for record linkage..  105:431-446. 2018
  • Bayesian local extremum splines.  104:939-952. 2017
  • Expandable factor analysis..  104:649-663. 2017
  • Simple, scalable and accurate posterior interval estimation.  104:665-680. 2017
  • Itemwise conditionally independent nonresponse modelling for incomplete multivariate data.  104:207-220. 2017
  • Bayesian inference on quasi-sparse count data..  103:971-983. 2016
  • Data augmentation for models based on rejection sampling..  103:319-335. 2016
  • Shared kernel Bayesian screening..  102:829-842. 2015
  • Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems.  102:77-94. 2015
  • Nonparametric Bayes inference on conditional independence.  103:35-47. 2015
  • Nonparametric Bayes dynamic modelling of relational data.  101:883-898. 2014
  • Variable selection in regression with compositional covariates.  101:785-797. 2014
  • Bayesian monotone regression using Gaussian process projection.  101:303-317. 2014
  • Latent factor models for density estimation.  101:641-654. 2014
  • Nonparametric Bayes modelling of count processes.  100:801-816. 2013
  • Posterior consistency in linear models under shrinkage priors.  100:1011-1018. 2013
  • Covariate-Adjusted Precision Matrix Estimation with an Application in Genetical Genomics..  100:139-156. 2013
  • Adaptive Bayesian multivariate density estimation with Dirichlet mixtures.  100:623-640. 2013
  • Efficient Gaussian process regression for large datasets.  100:75-89. 2013
  • Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions..  100. 2013
  • Finite population estimators in stochastic search variable selection.  99:981-988. 2012
  • Square-root lasso: Pivotal recovery of sparse signals via conic programming.  98:791-806. 2011
  • Bayesian isotonic density regression..  98:537-551. 2011
  • Sample size formulae for two-stage randomized trials with survival outcomes..  98:503-518. 2011
  • Semiparametric inference in mixture models with predictive recursion marginal likelihood.  98:567-582. 2011
  • Sample size and power analysis for sparse signal recovery in genome-wide association studies..  98:273-290. 2011
  • Sparse Bayesian infinite factor models..  98:291-306. 2011
  • Bayesian geostatistical modelling with informative sampling locations..  98:35-48. 2011
  • Nonparametric Bayesian density estimation on manifolds with applications to planar shapes..  97:851-865. 2010
  • Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data..  96:723-734. 2009
  • Dealing with limited overlap in estimation of average treatment effects.  96:187-199. 2009
  • Bayesian Nonparametric Functional Data Analysis Through Density Estimation..  96:149-162. 2009
  • Nonparametric Bayes local partition models for random effects..  96:249-262. 2009
  • Bayesian nonparametric inference on stochastic ordering..  95:859-874. 2008
  • Multiple imputation when records used for imputation are not used or disseminated for analysis.  95:933-946. 2008
  • Kernel stick-breaking processes.  95:307-323. 2008
  • Generalized spatial dirichlet process models.  94:809-825. 2007
  • Simulation of hyper-inverse Wishart distributions in graphical models.  94:647-659. 2007
  • Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data.  94:502-508. 2007
  • Latent-model robustness in structural measurement error models.  93:53-64. 2006
  • Covariance decomposition in undirected Gaussian graphical models.  92:779-786. 2005
  • Estimation of order-restricted means from correlated data.  92:703-715. 2005
  • Locally-efficient robust estimation of haplotype-disease association in family-based studies.  92:559-571. 2005
  • Rank-based regression with repeated measurements data.  90:732-740. 2003
  • Expected-posterior prior distributions for model selection.  89:491-511. 2002
  • Model choice: A minimum posterior predictive loss approach.  85:1-11. 1998
  • Multiple shrinkage and subset selection in wavelets.  85:391-401. 1998
  • Poisson/gamma random field models for spatial statistics.  85:251-267. 1998
  • Reference priors with partial information.  85:55-71. 1998
  • Time series decomposition.  84:489-494. 1997
  • A note on covariate measurement error in nonlinear mixed effects models.  83:801-812. 1996
  • Bayesian curve fitting using multivariate normal mixtures.  83:67-79. 1996
  • Regression analysis for long-term survival rate.  83:227-232. 1996
  • Efficient parametrisations for normal linear mixed models.  82:479-488. 1995
  • Generalized linear models with unknown link functions.  81:237-245. 1994
  • Parametric likelihood inference for record breaking problems.  80:507-515. 1993
  • The nonlinear mixed effects model with a smooth random effects density.  80:475-488. 1993
  • Ordered group reference priors with application to the multinomial problem.  79:25-37. 1992
  • Dynamic linear model diagnostics.  78:797-808. 1991
  • Noninformative priors for inferences in exponential regression models.  78:645-656. 1991
  • Nonparametric Bayesian bioassay including ordered polytomous response.  78:657-666. 1991
  • Kernel density estimation and marginalization consistency.  78:421-425. 1991
  • A note on overdispersed exponential families.  77:55-64. 1990
  • Estimation of variance functions in assays with possibly unequal replication and nonnormal data.  77:43-54. 1990
  • Histospline smoothing the Bayesian bootstrap.  75:673-684. 1988
  • Variance functions and the minimum detectable concentration in assays.  75:549-556. 1988
  • Evaluation of empirical Bayes estimators for small numbers of past samples.  58:244. 1971