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Two simple sufficient conditions for FDR control

Two simple sufficient conditions for FDR control

11 February 2008
Gilles Blanchard
Étienne Roquain
ArXivPDFHTML

Papers citing "Two simple sufficient conditions for FDR control"

45 / 45 papers shown
Title
I Bet You Did Not Mean That: Testing Semantic Importance via Betting
I Bet You Did Not Mean That: Testing Semantic Importance via Betting
Jacopo Teneggi
Jeremias Sulam
FAtt
28
1
0
29 May 2024
Selecting informative conformal prediction sets with false coverage rate
  control
Selecting informative conformal prediction sets with false coverage rate control
Ulysse Gazin
Ruth Heller
Ariane Marandon
Étienne Roquain
32
4
0
18 Mar 2024
A constructive approach to selective risk control
A constructive approach to selective risk control
Zijun Gao
Wenjie Hu
Qingyuan Zhao
11
1
0
30 Jan 2024
Online multiple testing with e-values
Online multiple testing with e-values
Ziyu Xu
Aaditya Ramdas
24
2
0
10 Nov 2023
On Controlling the False Discovery Rate in Multiple Testing of the Means
  of Correlated Normals Against Two-Sided Alternatives
On Controlling the False Discovery Rate in Multiple Testing of the Means of Correlated Normals Against Two-Sided Alternatives
S. Sarkar
16
0
0
11 Apr 2023
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
Mehrdad Pournaderi
Yu Xiang
18
4
0
29 Nov 2022
Sample-and-Forward: Communication-Efficient Control of the False
  Discovery Rate in Networks
Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks
Mehrdad Pournaderi
Yu Xiang
17
3
0
05 Oct 2022
Adaptive Cluster Thresholding with Spatial Activation Guarantees Using
  All-resolutions Inference
Adaptive Cluster Thresholding with Spatial Activation Guarantees Using All-resolutions Inference
Xu Chen
J. Goeman
T. Krebs
R. Meijer
W. Weeda
18
1
0
27 Jun 2022
E-values as unnormalized weights in multiple testing
E-values as unnormalized weights in multiple testing
Nikolaos Ignatiadis
Ruodu Wang
Aaditya Ramdas
27
23
0
26 Apr 2022
Post-selection inference for e-value based confidence intervals
Post-selection inference for e-value based confidence intervals
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
15
15
0
23 Mar 2022
Elementary proofs of several results on false discovery rate
Elementary proofs of several results on false discovery rate
Ruodu Wang
20
1
0
23 Jan 2022
Online Control of the False Discovery Rate under "Decision Deadlines"
Online Control of the False Discovery Rate under "Decision Deadlines"
Aaron Fisher
25
4
0
04 Oct 2021
Controlling the False Split Rate in Tree-Based Aggregation
Controlling the False Split Rate in Tree-Based Aggregation
Simeng Shao
Jacob Bien
Adel Javanmard
19
1
0
11 Aug 2021
A unified framework for bandit multiple testing
A unified framework for bandit multiple testing
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
6
17
0
15 Jul 2021
Semi-supervised multiple testing
Semi-supervised multiple testing
D. Mary
Étienne Roquain
13
14
0
25 Jun 2021
Testing partial conjunction hypotheses under dependency, with
  applications to meta-analysis
Testing partial conjunction hypotheses under dependency, with applications to meta-analysis
Marina Bogomolov
19
6
0
19 May 2021
False discovery rate control with e-values
False discovery rate control with e-values
Ruodu Wang
Aaditya Ramdas
24
90
0
06 Sep 2020
Conditional calibration for false discovery rate control under
  dependence
Conditional calibration for false discovery rate control under dependence
William Fithian
Lihua Lei
18
46
0
20 Jul 2020
A uniform FDR upper bound for a weighted FDR procedure under
  exchangeability
A uniform FDR upper bound for a weighted FDR procedure under exchangeability
Faith Zhang
Xiongzhi Chen
FedML
17
0
0
24 Oct 2019
The Power of Batching in Multiple Hypothesis Testing
The Power of Batching in Multiple Hypothesis Testing
Tijana Zrnic
Daniel Jiang
Aaditya Ramdas
Michael I. Jordan
17
14
0
11 Oct 2019
Dependence correction of multiple tests with applications to sparsity
Dependence correction of multiple tests with applications to sparsity
Marc Ditzhaus
A. Janssen
8
0
0
30 Sep 2019
Multiple Testing and Variable Selection along the path of the Least
  Angle Regression
Multiple Testing and Variable Selection along the path of the Least Angle Regression
Jean-marc Azais
Yohann De Castro
17
1
0
28 Jun 2019
The FDR-Linking Theorem
The FDR-Linking Theorem
Weijie J. Su
17
11
0
21 Dec 2018
Asynchronous Online Testing of Multiple Hypotheses
Asynchronous Online Testing of Multiple Hypotheses
Tijana Zrnic
Aaditya Ramdas
Michael I. Jordan
12
30
0
12 Dec 2018
A New Approach for Large Scale Multiple Testing with Application to FDR
  Control for Graphically Structured Hypotheses
A New Approach for Large Scale Multiple Testing with Application to FDR Control for Graphically Structured Hypotheses
Wenge Guo
G. Lynch
Joseph P. Romano
18
6
0
01 Dec 2018
Differentially Private False Discovery Rate Control
Differentially Private False Discovery Rate Control
Cynthia Dwork
Weijie J. Su
Li Zhang
12
23
0
11 Jul 2018
On the consistency of adaptive multiple tests
On the consistency of adaptive multiple tests
Marc Ditzhaus
A. Janssen
40
0
0
08 Jan 2018
A shortcut for Hommel's procedure in linearithmic time
A shortcut for Hommel's procedure in linearithmic time
R. Meijer
T. Krebs
Aldo Solari
J. Goeman
8
18
0
23 Oct 2017
Adaptive p-value weighting with power optimality
Adaptive p-value weighting with power optimality
Guillermo Durand
21
21
0
03 Oct 2017
Online control of the false discovery rate with decaying memory
Online control of the false discovery rate with decaying memory
Aaditya Ramdas
Fanny Yang
Martin J. Wainwright
Michael I. Jordan
18
62
0
02 Oct 2017
DAGGER: A sequential algorithm for FDR control on DAGs
DAGGER: A sequential algorithm for FDR control on DAGs
Aaditya Ramdas
Jianbo Chen
Martin J. Wainwright
Michael I. Jordan
14
17
0
29 Sep 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
17
19
0
15 May 2017
A unified treatment of multiple testing with prior knowledge using the
  p-filter
A unified treatment of multiple testing with prior knowledge using the p-filter
Aaditya Ramdas
Rina Foygel Barber
Martin J. Wainwright
Michael I. Jordan
11
92
0
18 Mar 2017
Finite sample bounds for expected number of false rejections under
  martingale dependence with applications to FDR
Finite sample bounds for expected number of false rejections under martingale dependence with applications to FDR
Julia Benditkis
A. Janssen
11
2
0
09 Aug 2016
Inequalities for the false discovery rate (FDR) under dependence
Inequalities for the false discovery rate (FDR) under dependence
Philipp Heesen
A. Janssen
36
22
0
30 Oct 2014
New procedures controlling the false discovery proportion via
  Romano-Wolf's heuristic
New procedures controlling the false discovery proportion via Romano-Wolf's heuristic
S. Delattre
Étienne Roquain
49
29
0
16 Nov 2013
Sequential Selection Procedures and False Discovery Rate Control
Sequential Selection Procedures and False Discovery Rate Control
M. G'Sell
Stefan Wager
Alexandra Chouldechova
Robert Tibshirani
33
166
0
20 Sep 2013
False Discovery Rate Control under Archimedean Copula
False Discovery Rate Control under Archimedean Copula
Taras Bodnar
T. Dickhaus
49
18
0
16 May 2013
A comprehensive error rate for multiple testing
A comprehensive error rate for multiple testing
D. Meskaldji
D. Van de Ville
Jean-Philippe Thiran
Stephan Morgenthaler
49
12
0
19 Dec 2011
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
67
4
0
15 Jul 2010
Exact calculations for false discovery proportion with application to
  least favorable configurations
Exact calculations for false discovery proportion with application to least favorable configurations
Étienne Roquain
Fanny Villers
67
57
0
15 Feb 2010
P-values for high-dimensional regression
P-values for high-dimensional regression
N. Meinshausen
L. Meier
Peter Buhlmann
72
439
0
13 Nov 2008
Optimal weighting for false discovery rate control
Optimal weighting for false discovery rate control
Étienne Roquain
M. A. van de Wiel
83
64
0
25 Jul 2008
Some nonasymptotic results on resampling in high dimension, I:
  Confidence regions, II: Multiple tests
Some nonasymptotic results on resampling in high dimension, I: Confidence regions, II: Multiple tests
Sylvain Arlot
Gilles Blanchard
Étienne Roquain
91
23
0
05 Dec 2007
Adaptive FDR control under independence and dependence
Adaptive FDR control under independence and dependence
Gilles Blanchard
Étienne Roquain
133
49
0
04 Jul 2007
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