Generalized double Pareto shrinkage

5 April 2011

Papers citing "Generalized double Pareto shrinkage"

23 / 23 papers shown

Title
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 54 1 0 25 May 2023
Maximum a Posteriori Estimation in Graphical Models Using Local Linear Approximation K. Sagar J. Datta Sayantan Banerjee A. Bhadra 24 2 0 13 Mar 2023
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery T. Tang Simon Mak David B. Dunson 16 4 0 01 Feb 2023
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 17 18 0 28 Jan 2022
Sparse Linear Mixed Model Selection via Streamlined Variational Bayes Emanuele Degani Luca Maestrini Dorota Toczydlowska M. Wand 14 1 0 13 Oct 2021
A Variational Inference Framework for Inverse Problems Luca Maestrini R. Aykroyd M. Wand 13 6 0 10 Mar 2021
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors Rui Jin Aixin Tan 27 8 0 16 Mar 2019
Efficient sampling for Gaussian linear regression with arbitrary priors P. R. Hahn Jingyu He H. Lopes 6 32 0 14 Jun 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 16 76 0 24 Dec 2017
Scalable Bayesian regression in high dimensions with multiple data sources K. Perrakis S. Mukherjee The Alzheimer's Disease Neuroimaging Initiative 21 4 0 02 Oct 2017
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 33 72 0 07 Jul 2016
Simple, Scalable and Accurate Posterior Interval Estimation Cheng Li Sanvesh Srivastava David B. Dunson 8 54 0 13 May 2016
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression A. Bhattacharya Antik Chakraborty Bani Mallick 27 176 0 15 Jun 2015
Scaling It Up: Stochastic Search Structure Learning in Graphical Models Hao Wang 29 114 0 07 May 2015
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors S. V. D. Pas B. Kleijn A. van der Vaart 40 166 0 01 Apr 2014
Bayesian Conditional Density Filtering S. Qamar Rajarshi Guhaniyogi David B. Dunson 45 11 0 15 Jan 2014
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization Zhi-Hao Zhang Jin Li 48 2 0 28 Aug 2013
Power-Expected-Posterior Priors for Variable Selection in Gaussian Linear Models D. Fouskakis I. Ntzoufras D. Draper 31 37 0 09 Jul 2013
Bayesian Compressed Regression Rajarshi Guhaniyogi David B. Dunson 36 73 0 04 Mar 2013
EP-GIG Priors and Applications in Bayesian Sparse Learning Zhihua Zhang Shusen Wang Dehua Liu Michael I. Jordan 36 56 0 19 Apr 2012
Cramer Rao-Type Bounds for Sparse Bayesian Learning Ranjitha Prasad C. Murthy 51 46 0 06 Feb 2012
Generalized Beta Mixtures of Gaussians Artin Armagan David B. Dunson M. Clyde 59 150 0 25 Jul 2011
Posterior consistency in linear models under shrinkage priors Artin Armagan David B. Dunson Jaeyong Lee W. Bajwa Nate Strawn 36 32 0 20 Apr 2011