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Journal of the American Statistical Association|January 28, 2020
Bayesian Conditional Tensor Factorizations for High-Dimensional ClassificationYun Yang, David B DunsonThe Annals of Applied Statistics|October 11, 2021
IDENTIFYING MAIN EFFECTS AND INTERACTIONS AMONG EXPOSURES USING GAUSSIAN PROCESSESFederico Ferrari, David B DunsonBiometrics|August 21, 2003
Bayesian inference on order-constrained parameters in generalized linear modelsDavid B Dunson, Brian NeelonBayesian Analysis|December 21, 2013
Nonparametric Bayesian models through probit stick-breaking processesAbel Rodríguez, David B DunsonBiometrics|August 22, 2006
Bayesian covariance selection in generalized linear mixed modelsBo Cai, David B DunsonBiometrics|December 24, 2010
Semiparametric bayes' proportional odds models for current status data with underreportingLianming Wang, David B DunsonPlos Computational Biology|August 11, 2011
Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactionsChuanhua Xing, David B DunsonBiometrika|February 10, 2018
Bayesian inference on quasi-sparse count dataJyotishka Datta, David B DunsonAnnals of the Institute of Statistical Mathematics|May 7, 2013
The local Dirichlet processYeonseung Chung, David B DunsonJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|September 3, 2013
Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor AnalysisJoyee Ghosh, David B DunsonPageof 370