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A General Framework for Bayes Structured Linear Models

A General Framework for Bayes Structured Linear Models

6 June 2015
Chao Gao
A. van der Vaart
Harrison H. Zhou
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Papers citing "A General Framework for Bayes Structured Linear Models"

7 / 7 papers shown
Title
Optimal Bayesian estimation of Gaussian mixtures with growing number of
  components
Optimal Bayesian estimation of Gaussian mixtures with growing number of components
Ilsang Ohn
Lizhen Lin
42
17
0
17 Jul 2020
Nonasymptotic Laplace approximation under model misspecification
Nonasymptotic Laplace approximation under model misspecification
A. Bhattacharya
D. Pati
13
1
0
16 May 2020
Bayesian Model Selection with Graph Structured Sparsity
Bayesian Model Selection with Graph Structured Sparsity
Youngseok Kim
Chao Gao
15
7
0
08 Feb 2019
Bayesian Linear Regression for Multivariate Responses Under Group
  Sparsity
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
Nearly optimal Bayesian Shrinkage for High Dimensional Regression
Qifan Song
F. Liang
16
76
0
24 Dec 2017
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Minwoo Chae
Lizhen Lin
David B. Dunson
31
15
0
06 Aug 2016
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
125
379
0
11 Jul 2010
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