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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
ArXivPDFHTML

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

11 / 11 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
84
0
0
20 Feb 2025
Entangled Mean Estimation in High-Dimensions
Entangled Mean Estimation in High-Dimensions
Ilias Diakonikolas
D. Kane
Sihan Liu
Thanasis Pittas
45
1
0
10 Jan 2025
Uniform Consistency in Nonparametric Mixture Models
Uniform Consistency in Nonparametric Mixture Models
Bryon Aragam
Ruiyi Yang
28
6
0
31 Aug 2021
Estimating minimum effect with outlier selection
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
21
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
33
15
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
19
29
0
01 Mar 2017
Distribution-free Multiple Testing
Distribution-free Multiple Testing
E. Arias-Castro
Shiyun Chen
OOD
29
63
0
26 Apr 2016
Deconvolution for an atomic distribution: rates of convergence
Deconvolution for an atomic distribution: rates of convergence
S. Gugushvili
Bert van Es
Peter Spreij
73
8
0
12 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
47
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
66
87
0
18 Feb 2010
A generalized Fourier approach to estimating the null parameters and
  proportion of non-null effects in large-scale multiple testing
A generalized Fourier approach to estimating the null parameters and proportion of non-null effects in large-scale multiple testing
Jiashun Jin
Jie Peng
Pei Wang
77
8
0
19 Nov 2009
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