Empirical Bayes posterior concentration in sparse high-dimensional linear models

30 June 2014

Papers citing "Empirical Bayes posterior concentration in sparse high-dimensional linear models"

12 / 12 papers shown

Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior Tien Mai 24 0 0 13 May 2025
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 26 1 0 19 Mar 2024
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 47 1 0 25 May 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models Yiqi Tang Ryan Martin 16 3 0 14 Mar 2023
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 8 17 0 28 Jan 2022
Performance of Bayesian linear regression in a model with mismatch Jean Barbier Wei-Kuo Chen D. Panchenko Manuel Sáenz 32 22 0 14 Jul 2021
Optimal Bayesian estimation of Gaussian mixtures with growing number of components Ilsang Ohn Lizhen Lin 27 16 0 17 Jul 2020
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 14 77 0 24 Dec 2017
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 19 108 0 03 Nov 2016
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 23 71 0 07 Jul 2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes Peter Grünwald Nishant A. Mehta 18 71 0 01 May 2016
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 30 58 0 06 Jun 2015