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Bayesian high-dimensional linear regression with generic spike-and-slab
  priors

Bayesian high-dimensional linear regression with generic spike-and-slab priors

19 December 2019
Bai Jiang
Qiang Sun
ArXivPDFHTML

Papers citing "Bayesian high-dimensional linear regression with generic spike-and-slab priors"

7 / 7 papers shown
Title
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
372
146
0
29 Mar 2015
Empirical Bayes posterior concentration in sparse high-dimensional
  linear models
Empirical Bayes posterior concentration in sparse high-dimensional linear models
Ryan Martin
Raymond Mess
S. Walker
158
103
0
30 Jun 2014
Bayesian linear regression with sparse priors
Bayesian linear regression with sparse priors
I. Castillo
Johannes Schmidt-Hieber
A. van der Vaart
147
379
0
04 Mar 2014
Dirichlet-Laplace priors for optimal shrinkage
Dirichlet-Laplace priors for optimal shrinkage
A. Bhattacharya
D. Pati
Natesh S. Pillai
David B. Dunson
89
440
0
21 Jan 2014
Generalized double Pareto shrinkage
Generalized double Pareto shrinkage
Artin Armagan
David B. Dunson
Jaeyong Lee
78
374
0
05 Apr 2011
Local shrinkage rules, Levy processes, and regularized regression
Local shrinkage rules, Levy processes, and regularized regression
Nicholas G. Polson
James G. Scott
96
130
0
17 Oct 2010
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
207
575
0
11 Oct 2009
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