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Optimal rates of convergence for estimating the null density and
  proportion of nonnull effects in large-scale multiple testing

Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing

11 January 2010
T. Tony Cai
Jiashun Jin
ArXiv (abs)PDFHTML

Papers citing "Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing"

14 / 14 papers shown
Title
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Ilias Diakonikolas
Giannis Iakovidis
D. Kane
Thanasis Pittas
196
0
0
20 Feb 2025
Uniform Consistency in Nonparametric Mixture Models
Uniform Consistency in Nonparametric Mixture Models
Bryon Aragam
Ruiyi Yang
85
6
0
31 Aug 2021
Weak Signal Inclusion Under Sparsity and Dependence
Weak Signal Inclusion Under Sparsity and Dependence
X. J. Jeng
Yifei Hu
34
1
0
28 Jun 2020
Estimating minimum effect with outlier selection
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
81
9
0
21 Sep 2018
Adaptive robust estimation in sparse vector model
Adaptive robust estimation in sparse vector model
L. Comminges
O. Collier
M. Ndaoud
Alexandre B. Tsybakov
116
16
0
12 Feb 2018
Adaptive estimation of the sparsity in the Gaussian vector model
Adaptive estimation of the sparsity in the Gaussian vector model
Alexandra Carpentier
Nicolas Verzélen
135
29
0
01 Mar 2017
Distribution-free Multiple Testing
Distribution-free Multiple Testing
E. Arias-Castro
Shiyun Chen
OOD
72
63
0
26 Apr 2016
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
57
12
0
02 Oct 2015
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
140
53
0
28 Oct 2013
False Discovery Rate Control under Archimedean Copula
False Discovery Rate Control under Archimedean Copula
Taras Bodnar
T. Dickhaus
120
18
0
16 May 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
112
65
0
27 Apr 2013
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
120
16
0
26 May 2010
Asymptotic Bayes-optimality under sparsity of some multiple testing
  procedures
Asymptotic Bayes-optimality under sparsity of some multiple testing procedures
M. Bogdan
A. Chakrabarti
F. Frommlet
J. Ghosh
138
87
0
18 Feb 2010
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