Bernstein von Mises Theorems for Gaussian Regression with increasing number of regressors

7 September 2010

Papers citing "Bernstein von Mises Theorems for Gaussian Regression with increasing number of regressors"

12 / 12 papers shown

Title
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 57 1 0 25 May 2023
Nonasymptotic Laplace approximation under model misspecification A. Bhattacharya D. Pati 19 1 0 16 May 2020
Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery M. Reiß Johannes Schmidt-Hieber 27 7 0 11 Sep 2018
Bayesian Linear Regression for Multivariate Responses Under Group Sparsity Bo Ning Seonghyun Jeong S. Ghosal 16 40 0 10 Jul 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 16 76 0 24 Dec 2017
On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems Yulong Lu 21 16 0 01 Jun 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 25 204 0 09 May 2017
Optimal Bayesian estimation in stochastic block models D. Pati A. Bhattacharya 30 7 0 26 May 2015
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures I. Castillo Richard Nickl 35 130 0 09 Oct 2013
Posterior consistency in linear models under shrinkage priors Artin Armagan David B. Dunson Jaeyong Lee W. Bajwa Nate Strawn 38 32 0 20 Apr 2011
Bayesian inverse problems with Gaussian priors B. Knapik A. van der Vaart J. H. Zanten 47 224 0 14 Mar 2011
A Bernstein-Von Mises Theorem for discrete probability distributions S. Boucheron Elisabeth Gassiat 113 49 0 14 Jul 2008