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Asymptotic Bayes-optimality under sparsity of some multiple testing
  procedures
v1v2 (latest)

Asymptotic Bayes-optimality under sparsity of some multiple testing procedures

18 February 2010
M. Bogdan
A. Chakrabarti
F. Frommlet
J. Ghosh
ArXiv (abs)PDFHTML

Papers citing "Asymptotic Bayes-optimality under sparsity of some multiple testing procedures"

26 / 26 papers shown
Title
Asymptotic bayes optimality under sparsity for equicorrelated
  multivariate normal test statistics
Asymptotic bayes optimality under sparsity for equicorrelated multivariate normal test statistics
Rahul Roy
S. K. Bhandari
35
0
0
25 Aug 2022
High-dimensional Asymptotic Theory of Bayesian Multiple Testing
  Procedures Under General Dependent Setup and Possible Misspecification
High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
N. K. Chandra
S. Bhattacharya
30
2
0
30 Apr 2020
Asymptotically optimal test for dependent multiple testing set up
Asymptotically optimal test for dependent multiple testing set up
R. Roy
S. K. Bhandari
17
0
0
07 Jan 2020
Phase Transitions in Genome-wide Association Studies and Categorical
  Variable Screenings
Phase Transitions in Genome-wide Association Studies and Categorical Variable Screenings
Zhengqi Gao
13
0
0
13 Oct 2019
On the asymptotic properties of SLOPE
On the asymptotic properties of SLOPE
Michał Kos
M. Bogdan
57
19
0
23 Aug 2019
Empirical priors and coverage of posterior credible sets in a sparse
  normal mean model
Empirical priors and coverage of posterior credible sets in a sparse normal mean model
Ryan Martin
Bo Ning
68
18
0
05 Dec 2018
On spike and slab empirical Bayes multiple testing
On spike and slab empirical Bayes multiple testing
I. Castillo
Étienne Roquain
77
35
0
29 Aug 2018
Risk quantification for the thresholding rule for multiple testing using
  Gaussian scale mixtures
Risk quantification for the thresholding rule for multiple testing using Gaussian scale mixtures
J. Salomond
92
9
0
23 Nov 2017
Horseshoe Regularization for Feature Subset Selection
Horseshoe Regularization for Feature Subset Selection
A. Bhadra
J. Datta
Nicholas G. Polson
Brandon T. Willard
63
9
0
23 Feb 2017
Adaptive posterior contraction rates for the horseshoe
Adaptive posterior contraction rates for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
71
72
0
13 Feb 2017
Distribution-free Multiple Testing
Distribution-free Multiple Testing
E. Arias-Castro
Shiyun Chen
OOD
72
63
0
26 Apr 2016
Some Permutationllay Symmetric Multiple Hypotheses Testing Rules Under
  Dependent Set up
Some Permutationllay Symmetric Multiple Hypotheses Testing Rules Under Dependent Set up
A. Kundu
S. K. Bhandari
61
0
0
13 Apr 2016
Group SLOPE - adaptive selection of groups of predictors
Group SLOPE - adaptive selection of groups of predictors
Damian Brzyski
Weijie Su
M. Bogdan
18
2
0
29 Nov 2015
Asymptotic Minimaxity, Optimal Posterior Concentration and Asymptotic
  Bayes Optimality of Horseshoe-type Priors Under Sparsity
Asymptotic Minimaxity, Optimal Posterior Concentration and Asymptotic Bayes Optimality of Horseshoe-type Priors Under Sparsity
P. Ghosh
A. Chakrabarti
41
1
0
05 Oct 2015
Model Selection and Multiple Testing - A Bayesian and Empirical Bayes
  Overview and some New Results
Model Selection and Multiple Testing - A Bayesian and Empirical Bayes Overview and some New Results
Ritabrata Dutta
M. Bogdan
J. Ghosh
BDL
60
12
0
02 Oct 2015
Bayesian Multiple Testing Under Sparsity for Polynomial-Tailed
  Distributions
Bayesian Multiple Testing Under Sparsity for Polynomial-Tailed Distributions
Xueying Tang
Ke Li
M. Ghosh
43
1
0
27 Sep 2015
The Horseshoe+ Estimator of Ultra-Sparse Signals
The Horseshoe+ Estimator of Ultra-Sparse Signals
A. Bhadra
J. Datta
Nicholas G. Polson
Brandon T. Willard
109
169
0
02 Feb 2015
False discovery rate smoothing
False discovery rate smoothing
Wesley Tansey
Oluwasanmi Koyejo
R. Poldrack
James G. Scott
64
48
0
22 Nov 2014
Higher Criticism for Large-Scale Inference, Especially for Rare and Weak
  Effects
Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Effects
D. Donoho
Jiashun Jin
122
131
0
17 Oct 2014
Asymptotic Properties of Bayes Risk of a General Class of Shrinkage
  Priors in Multiple Hypothesis Testing Under Sparsity
Asymptotic Properties of Bayes Risk of a General Class of Shrinkage Priors in Multiple Hypothesis Testing Under Sparsity
P. Ghosh
Xueying Tang
M. Ghosh
A. Chakrabarti
142
53
0
28 Oct 2013
Testing Un-Separated Hypotheses by Estimating a Distance
Testing Un-Separated Hypotheses by Estimating a Distance
J. Salomond
77
14
0
26 Mar 2013
Bayes Multiple Decision Functions
Bayes Multiple Decision Functions
Wensong Wu
Edsel A. Peña
54
6
0
30 Sep 2011
A nonparametric empirical Bayes framework for large-scale multiple
  testing
A nonparametric empirical Bayes framework for large-scale multiple testing
Ryan Martin
S. Tokdar
83
44
0
20 Jun 2011
A model selection approach to genome wide association studies
A model selection approach to genome wide association studies
F. Frommlet
Felix Ruhaltinger
Piotr Twaróg
M. Bogdan
81
13
0
01 Oct 2010
Classes of Multiple Decision Functions Strongly Controlling FWER and FDR
Classes of Multiple Decision Functions Strongly Controlling FWER and FDR
Edsel A. Peña
Joshua D. Habiger
Wensong Wu
121
4
0
15 Jul 2010
Asymptotic Bayes optimality under sparsity for generally distributed
  effect sizes under the alternative
Asymptotic Bayes optimality under sparsity for generally distributed effect sizes under the alternative
F. Frommlet
A. Chakrabarti
M. Murawska
M. Bogdan
128
16
0
26 May 2010
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