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Empirical Bayes cumulative $\ell$-value multiple testing procedure for
  sparse sequences
v1v2v3 (latest)

Empirical Bayes cumulative ℓ\ellℓ-value multiple testing procedure for sparse sequences

1 February 2021
Kweku Abraham
I. Castillo
Étienne Roquain
ArXiv (abs)PDFHTML

Papers citing "Empirical Bayes cumulative $\ell$-value multiple testing procedure for sparse sequences"

18 / 18 papers shown
Title
Sharp multiple testing boundary for sparse sequences
Sharp multiple testing boundary for sparse sequences
Kweku Abraham
I. Castillo
Étienne Roquain
65
7
0
28 Sep 2021
Uncertainty quantification for robust variable selection and multiple
  testing
Uncertainty quantification for robust variable selection and multiple testing
E. Belitser
N. Nurushev
48
5
0
19 Sep 2021
Bayesian inference in high-dimensional models
Bayesian inference in high-dimensional models
Sayantan Banerjee
I. Castillo
S. Ghosal
97
23
0
12 Jan 2021
Graph inference with clustering and false discovery rate control
Graph inference with clustering and false discovery rate control
Tabea Rebafka
Étienne Roquain
Fanny Villers
50
6
0
23 Jul 2019
Solving the Empirical Bayes Normal Means Problem with Correlated Noise
Solving the Empirical Bayes Normal Means Problem with Correlated Noise
Lei Sun
M. Stephens
56
9
0
18 Dec 2018
On spike and slab empirical Bayes multiple testing
On spike and slab empirical Bayes multiple testing
I. Castillo
Étienne Roquain
40
35
0
29 Aug 2018
Spike and slab empirical Bayes sparse credible sets
Spike and slab empirical Bayes sparse credible sets
I. Castillo
Botond Szabó
45
20
0
23 Aug 2018
False Discovery Rate Control via Debiased Lasso
False Discovery Rate Control via Debiased Lasso
Adel Javanmard
Hamid Javadi
69
56
0
12 Mar 2018
Empirical Bayes analysis of spike and slab posterior distributions
Empirical Bayes analysis of spike and slab posterior distributions
I. Castillo
Romain Mismer
41
31
0
05 Jan 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
67
9
0
23 Nov 2017
Adaptive p-value weighting with power optimality
Adaptive p-value weighting with power optimality
Guillermo Durand
69
21
0
03 Oct 2017
Optimal Rates and Tradeoffs in Multiple Testing
Optimal Rates and Tradeoffs in Multiple Testing
Maxim Rabinovich
Aaditya Ramdas
Michael I. Jordan
Martin J. Wainwright
66
20
0
15 May 2017
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
Distribution-free Multiple Testing
Distribution-free Multiple Testing
E. Arias-Castro
Shiyun Chen
OOD
53
196
0
26 Apr 2016
A knockoff filter for high-dimensional selective inference
A knockoff filter for high-dimensional selective inference
Rina Foygel Barber
Emmanuel J. Candes
66
178
0
10 Feb 2016
Controlling the false discovery rate via knockoffs
Controlling the false discovery rate via knockoffs
Rina Foygel Barber
Emmanuel J. Candès
221
751
0
22 Apr 2014
Optimal weighting for false discovery rate control
Optimal weighting for false discovery rate control
Étienne Roquain
M. A. van de Wiel
140
65
0
25 Jul 2008
Size, power and false discovery rates
Size, power and false discovery rates
B. Efron
360
423
0
11 Oct 2007
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