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1002.3501
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Asymptotic Bayes-optimality under sparsity of some multiple testing procedures
18 February 2010
M. Bogdan
A. Chakrabarti
F. Frommlet
J. Ghosh
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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
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High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
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Asymptotically optimal test for dependent multiple testing set up
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Phase Transitions in Genome-wide Association Studies and Categorical Variable Screenings
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On the asymptotic properties of SLOPE
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23 Aug 2019
Empirical priors and coverage of posterior credible sets in a sparse normal mean model
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Bo Ning
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05 Dec 2018
On spike and slab empirical Bayes multiple testing
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29 Aug 2018
Risk quantification for the thresholding rule for multiple testing using Gaussian scale mixtures
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23 Nov 2017
Horseshoe Regularization for Feature Subset Selection
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J. Datta
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Brandon T. Willard
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Adaptive posterior contraction rates for the horseshoe
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A. van der Vaart
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13 Feb 2017
Distribution-free Multiple Testing
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Shiyun Chen
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26 Apr 2016
Some Permutationllay Symmetric Multiple Hypotheses Testing Rules Under Dependent Set up
A. Kundu
S. K. Bhandari
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13 Apr 2016
Group SLOPE - adaptive selection of groups of predictors
Damian Brzyski
Weijie Su
M. Bogdan
18
2
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29 Nov 2015
Asymptotic Minimaxity, Optimal Posterior Concentration and Asymptotic Bayes Optimality of Horseshoe-type Priors Under Sparsity
P. Ghosh
A. Chakrabarti
41
1
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05 Oct 2015
Model Selection and Multiple Testing - A Bayesian and Empirical Bayes Overview and some New Results
Ritabrata Dutta
M. Bogdan
J. Ghosh
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60
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02 Oct 2015
Bayesian Multiple Testing Under Sparsity for Polynomial-Tailed Distributions
Xueying Tang
Ke Li
M. Ghosh
43
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27 Sep 2015
The Horseshoe+ Estimator of Ultra-Sparse Signals
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J. Datta
Nicholas G. Polson
Brandon T. Willard
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02 Feb 2015
False discovery rate smoothing
Wesley Tansey
Oluwasanmi Koyejo
R. Poldrack
James G. Scott
64
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22 Nov 2014
Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Effects
D. Donoho
Jiashun Jin
122
131
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17 Oct 2014
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
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28 Oct 2013
Testing Un-Separated Hypotheses by Estimating a Distance
J. Salomond
77
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26 Mar 2013
Bayes Multiple Decision Functions
Wensong Wu
Edsel A. Peña
54
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30 Sep 2011
A nonparametric empirical Bayes framework for large-scale multiple testing
Ryan Martin
S. Tokdar
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20 Jun 2011
A model selection approach to genome wide association studies
F. Frommlet
Felix Ruhaltinger
Piotr Twaróg
M. Bogdan
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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
F. Frommlet
A. Chakrabarti
M. Murawska
M. Bogdan
128
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26 May 2010
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