Data augmentation for non-Gaussian regression models using variance-mean
mixtures

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Data augmentation for non-Gaussian regression models using variance-mean mixtures

28 March 2011

Nicholas G. Polson

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Papers citing "Data augmentation for non-Gaussian regression models using variance-mean mixtures"

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Title
Logistic-beta processes for dependent random probabilities with beta marginals Changwoo J. Lee Alessandro Zito Huiyan Sang David B. Dunson 77 0 0 10 Feb 2024
Bayesian Inference for Gamma Models Jingyu He Nicholas G. Polson Jianeng Xu 36 1 0 03 Jun 2021
The Reciprocal Bayesian LASSO Himel Mallick, PhD, FASA Rahim Alhamzawi Erina Paul V. Svetnik BDL 49 16 0 23 Jan 2020
Data Augementation with Polya Inverse Gamma Jingyu He Nicholas G. Polson Jianeng Xu 91 5 0 29 May 2019
Horseshoe Regularization for Machine Learning in Complex and Deep Models A. Bhadra J. Datta Yunfan Li Nicholas G. Polson 70 15 0 24 Apr 2019
Data Augmentation for Bayesian Deep Learning YueXing Wang Nicholas G. Polson Vadim Sokolov UQCV BDL 85 5 0 22 Mar 2019
Global-Local Mixtures A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 40 5 0 26 Apr 2016
An Ensemble EM Algorithm for Bayesian Variable Selection Jin Wang Feng Liang Yuan Ji 39 3 0 14 Mar 2016
A Statistical Theory of Deep Learning via Proximal Splitting Nicholas G. Polson Brandon T. Willard Massoud Heidari 46 5 0 20 Sep 2015
$A MAP approach for $\ell_q$-norm regularized sparse parameter estimation using the EM algorithm$ A MAP approach for $\ell_q$ -norm regularized sparse parameter estimation using the EM algorithm Rodrigo Carvajal J. C. Agüero Boris I. Godoy Dimitrios Katselis 115 4 0 05 Aug 2015
Two New Algorithms for Solving Covariance Graphical Lasso Based on Coordinate Descent and ECM Hao Wang 84 4 0 18 May 2012
The Bayesian Bridge Nicholas G. Polson James G. Scott Jesse Windle 101 155 0 11 Sep 2011