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Simultaneous high-probability bounds on the false discovery proportion
  in structured, regression, and online settings
v1v2v3v4v5 (latest)

Simultaneous high-probability bounds on the false discovery proportion in structured, regression, and online settings

19 March 2018
Eugene Katsevich
Aaditya Ramdas
ArXiv (abs)PDFHTML

Papers citing "Simultaneous high-probability bounds on the false discovery proportion in structured, regression, and online settings"

6 / 6 papers shown
Title
Confidence Intervals for Selected Parameters
Confidence Intervals for Selected Parameters
Y. Benjamini
Yotam Hechtlinger
Philip B. Stark
62
14
0
02 Jun 2019
Only Closed Testing Procedures are Admissible for Controlling False
  Discovery Proportions
Only Closed Testing Procedures are Admissible for Controlling False Discovery Proportions
J. Goeman
J. Hemerik
Aldo Solari
60
44
0
15 Jan 2019
The FDR-Linking Theorem
The FDR-Linking Theorem
Weijie J. Su
67
12
0
21 Dec 2018
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
72
17
0
29 Sep 2017
A Pseudo Knockoff Filter for Correlated Features
A Pseudo Knockoff Filter for Correlated Features
Jiajie Chen
Anthony Hou
T. Hou
63
2
0
30 Aug 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
99
95
0
18 Mar 2017
1