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