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Spike and slab empirical Bayes sparse credible sets
v1v2 (latest)

Spike and slab empirical Bayes sparse credible sets

23 August 2018
I. Castillo
Botond Szabó
ArXiv (abs)PDFHTML

Papers citing "Spike and slab empirical Bayes sparse credible sets"

15 / 15 papers shown
Title
Empirical Bayes analysis of spike and slab posterior distributions
Empirical Bayes analysis of spike and slab posterior distributions
I. Castillo
Romain Mismer
43
31
0
05 Jan 2018
Adaptive posterior contraction rates for the horseshoe
Adaptive posterior contraction rates for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
40
70
0
13 Feb 2017
Asymptotic frequentist coverage properties of Bayesian credible sets for
  sieve priors
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
Judith Rousseau
Botond Szabó
61
22
0
16 Sep 2016
Uncertainty quantification for the horseshoe
Uncertainty quantification for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
74
74
0
07 Jul 2016
Conditions for Posterior Contraction in the Sparse Normal Means Problem
Conditions for Posterior Contraction in the Sparse Normal Means Problem
S. V. D. Pas
J. Salomond
Johannes Schmidt-Hieber
52
65
0
08 Oct 2015
The Horseshoe Estimator: Posterior Concentration around Nearly Black
  Vectors
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors
S. V. D. Pas
B. Kleijn
A. van der Vaart
79
169
0
01 Apr 2014
Dirichlet-Laplace priors for optimal shrinkage
Dirichlet-Laplace priors for optimal shrinkage
A. Bhattacharya
D. Pati
Natesh S. Pillai
David B. Dunson
106
440
0
21 Jan 2014
Honest Bayesian confidence sets for the L2-norm
Honest Bayesian confidence sets for the L2-norm
Botond Szabó
A. van der Vaart
Harry Van Zanten
77
29
0
29 Nov 2013
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Botond Szabó
Van der Vaart
V. Zanten
89
159
0
16 Oct 2013
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
59
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
136
251
0
06 Nov 2012
Confidence sets in sparse regression
Confidence sets in sparse regression
Richard Nickl
Sara van de Geer
107
111
0
07 Sep 2012
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
I. Castillo
Richard Nickl
118
147
0
19 Aug 2012
Adaptive confidence sets in L^2
Adaptive confidence sets in L^2
Adam D. Bull
Richard Nickl
103
48
0
23 Nov 2011
General maximum likelihood empirical Bayes estimation of normal means
General maximum likelihood empirical Bayes estimation of normal means
Wenhua Jiang
Cun-Hui Zhang
339
215
0
12 Aug 2009
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