Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences

6 November 2012

Papers citing "Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences"

23 / 23 papers shown

Title
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 46 1 0 19 Mar 2024
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion Veronika Rockova 6 0 0 05 Sep 2023
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 51 1 0 25 May 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models Yiqi Tang Ryan Martin 27 3 0 14 Mar 2023
Bayesian Sparse Gaussian Mixture Model in High Dimensions Dapeng Yao Fangzheng Xie Yanxun Xu 26 1 0 21 Jul 2022
Scalable Spike-and-Slab N. Biswas Lester W. Mackey Xiao-Li Meng GP 27 11 0 04 Apr 2022
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 17 17 0 28 Jan 2022
Semiparametric discrete data regression with Monte Carlo inference and prediction Daniel R. Kowal Bo-Hong Wu 21 3 0 23 Oct 2021
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 33 28 0 22 Oct 2020
On the cost of Bayesian posterior mean strategy for log-concave models S. Gadat Fabien Panloup Clément Pellegrini 15 7 0 08 Oct 2020
Optimal Bayesian estimation of Gaussian mixtures with growing number of components Ilsang Ohn Lizhen Lin 36 17 0 17 Jul 2020
Nonasymptotic Laplace approximation under model misspecification A. Bhattacharya D. Pati 11 1 0 16 May 2020
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 28 87 0 24 Mar 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 16 76 0 24 Dec 2017
On the frequentist validity of Bayesian limits B. Kleijn 11 15 0 25 Nov 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 31 15 0 06 Aug 2016
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 25 71 0 07 Jul 2016
Needles and straw in a haystack: robust confidence for possibly sparse sequences E. Belitser N. Nurushev 20 24 0 05 Nov 2015
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression A. Bhattacharya Antik Chakraborty Bani Mallick 27 175 0 15 Jun 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 32 57 0 06 Jun 2015
Optimal Bayesian estimation in stochastic block models D. Pati A. Bhattacharya 26 7 0 26 May 2015
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors S. V. D. Pas B. Kleijn A. van der Vaart 35 165 0 01 Apr 2014
Rate-optimal posterior contraction for sparse PCA Chao Gao Harrison H. Zhou 46 35 0 30 Nov 2013