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David B Dunson

Showing results (131-140 of 196) with videos related to

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Statistics in Medicine|July 25, 2012
Adverse subpopulation regression for multivariate outcomes with high-dimensional predictorsBin Zhu, David B Dunson, Allison E Ashley-Koch
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 10, 2015
Marginally specified priors for non-parametric Bayesian estimationDavid C Kessler, Peter D Hoff, David B Dunson
Biometrika|January 19, 2021
Efficient posterior sampling for high-dimensional imbalanced logistic regressionDeborshee Sen, Matthias Sachs, Jianfeng Lu, et al.
Journal of the American Statistical Association|March 19, 2024
Bayesian Modeling of Sequential DiscoveriesAlessandro Zito, Tommaso Rigon, Otso Ovaskainen, et al.
Journal of Machine Learning Research : JMLR|September 27, 2014
Logistic Stick-Breaking ProcessLu Ren, Lan Du, Lawrence Carin, et al.
Journal of the American Statistical Association|September 26, 2025
Robustifying Likelihoods by Optimistically Re-weighting DataMiheer Dewaskar, Christopher Tosh, Jeremias Knoblauch, et al.
Biometrika|April 14, 2025
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian ProcessesYichen Zhu, Michele Peruzzi, Cheng Li, et al.
The Annals of Applied Statistics|November 25, 2022
EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKSSirio Legramanti, Tommaso Rigon, Daniele Durante, et al.
Bioinformatics (Oxford, England)|February 7, 2014
Learning phenotype densities conditional on many interacting predictorsDavid C Kessler, Jack A Taylor, David B Dunson
Advances in Neural Information Processing Systems|November 1, 2014
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object SegmentationLan Du, Lu Ren, David B Dunson, et al.
Pageof 20

Showing results (131-140 of 196) with videos related to

Sort By:
Pageof 20
Statistics in Medicine|July 25, 2012
Adverse subpopulation regression for multivariate outcomes with high-dimensional predictorsBin Zhu, David B Dunson, Allison E Ashley-Koch
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 10, 2015
Marginally specified priors for non-parametric Bayesian estimationDavid C Kessler, Peter D Hoff, David B Dunson
Biometrika|January 19, 2021
Efficient posterior sampling for high-dimensional imbalanced logistic regressionDeborshee Sen, Matthias Sachs, Jianfeng Lu, et al.
Journal of the American Statistical Association|March 19, 2024
Bayesian Modeling of Sequential DiscoveriesAlessandro Zito, Tommaso Rigon, Otso Ovaskainen, et al.
Journal of Machine Learning Research : JMLR|September 27, 2014
Logistic Stick-Breaking ProcessLu Ren, Lan Du, Lawrence Carin, et al.
Journal of the American Statistical Association|September 26, 2025
Robustifying Likelihoods by Optimistically Re-weighting DataMiheer Dewaskar, Christopher Tosh, Jeremias Knoblauch, et al.
Biometrika|April 14, 2025
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian ProcessesYichen Zhu, Michele Peruzzi, Cheng Li, et al.
The Annals of Applied Statistics|November 25, 2022
EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKSSirio Legramanti, Tommaso Rigon, Daniele Durante, et al.
Bioinformatics (Oxford, England)|February 7, 2014
Learning phenotype densities conditional on many interacting predictorsDavid C Kessler, Jack A Taylor, David B Dunson
Advances in Neural Information Processing Systems|November 1, 2014
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object SegmentationLan Du, Lu Ren, David B Dunson, et al.
Pageof 20