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Empirical Bayes posterior concentration in sparse high-dimensional
  linear models

Empirical Bayes posterior concentration in sparse high-dimensional linear models

30 June 2014
Ryan Martin
Raymond Mess
S. Walker
ArXivPDFHTML

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

16 / 16 papers shown
Title
Inconsistency of Bayesian Inference for Misspecified Linear Models, and
  a Proposal for Repairing It
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It
Peter Grünwald
T. V. Ommen
69
265
0
11 Dec 2014
Bayesian variable selection with shrinking and diffusing priors
Bayesian variable selection with shrinking and diffusing priors
N. Narisetty
Xuming He
BDL
44
212
0
26 May 2014
Bayesian linear regression with sparse priors
Bayesian linear regression with sparse priors
I. Castillo
Johannes Schmidt-Hieber
A. van der Vaart
97
379
0
04 Mar 2014
Asymptotically minimax empirical Bayes estimation of a sparse normal
  mean vector
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector
Ryan Martin
S. Walker
44
65
0
27 Apr 2013
Needles and Straw in a Haystack: Posterior concentration for possibly
  sparse sequences
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences
I. Castillo
A. van der Vaart
59
251
0
06 Nov 2012
High-dimensional regression with unknown variance
High-dimensional regression with unknown variance
Christophe Giraud
S. Huet
Nicolas Verzélen
68
62
0
26 Sep 2011
Sparse Estimation by Exponential Weighting
Sparse Estimation by Exponential Weighting
Philippe Rigollet
Alexandre B. Tsybakov
107
121
0
25 Aug 2011
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Nicolas Verzélen
191
152
0
03 Aug 2010
Exponential Screening and optimal rates of sparse estimation
Exponential Screening and optimal rates of sparse estimation
Philippe Rigollet
Alexandre B. Tsybakov
131
242
0
12 Mar 2010
MAP model selection in Gaussian regression
MAP model selection in Gaussian regression
F. Abramovich
V. Grinshtein
49
27
0
22 Dec 2009
A Selective Overview of Variable Selection in High Dimensional Feature
  Space (Invited Review Article)
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
Jianqing Fan
Jinchi Lv
486
907
0
06 Oct 2009
Gibbs posterior for variable selection in high-dimensional
  classification and data mining
Gibbs posterior for variable selection in high-dimensional classification and data mining
Wenxin Jiang
M. Tanner
61
116
0
31 Oct 2008
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
242
869
0
07 Aug 2008
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and
  sparsity
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
A. Dalalyan
Alexandre B. Tsybakov
130
176
0
19 Mar 2008
Bayesian variable selection for high dimensional generalized linear
  models: convergence rates of the fitted densities
Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities
Wenxin Jiang
379
93
0
18 Oct 2007
On rates of convergence for posterior distributions in
  infinite-dimensional models
On rates of convergence for posterior distributions in infinite-dimensional models
S. Walker
Antonio Lijoi
Igor Prunster
86
80
0
14 Aug 2007
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