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A Power Analysis of the Conditional Randomization Test and Knockoffs

A Power Analysis of the Conditional Randomization Test and Knockoffs

5 October 2020
Wenshuo Wang
Lucas Janson
ArXivPDFHTML

Papers citing "A Power Analysis of the Conditional Randomization Test and Knockoffs"

11 / 11 papers shown
Title
The Lasso with general Gaussian designs with applications to hypothesis
  testing
The Lasso with general Gaussian designs with applications to hypothesis testing
Michael Celentano
Andrea Montanari
Yuting Wei
73
64
0
27 Jul 2020
A Precise High-Dimensional Asymptotic Theory for Boosting and
  Minimum-$\ell_1$-Norm Interpolated Classifiers
A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-ℓ1\ell_1ℓ1​-Norm Interpolated Classifiers
Tengyuan Liang
Pragya Sur
71
70
0
05 Feb 2020
Power analysis of knockoff filters for correlated designs
Power analysis of knockoff filters for correlated designs
Jingbo Liu
Philippe Rigollet
152
16
0
28 Oct 2019
On the Construction of Knockoffs in Case-Control Studies
On the Construction of Knockoffs in Case-Control Studies
Rina Foygel Barber
Emmanuel Candes
11
4
0
29 Dec 2018
IPAD: Stable Interpretable Forecasting with Knockoffs Inference
IPAD: Stable Interpretable Forecasting with Knockoffs Inference
Yingying Fan
Jinchi Lv
Mahrad Sharifvaghefi
Yoshimasa Uematsu
50
54
0
06 Sep 2018
DeepPINK: reproducible feature selection in deep neural networks
DeepPINK: reproducible feature selection in deep neural networks
Yang Young Lu
Yingying Fan
Jinchi Lv
William Stafford Noble
FAtt
138
124
0
04 Sep 2018
A modern maximum-likelihood theory for high-dimensional logistic
  regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
51
288
0
19 Mar 2018
Gene Hunting with Knockoffs for Hidden Markov Models
Gene Hunting with Knockoffs for Hidden Markov Models
Matteo Sesia
C. Sabatti
Emmanuel J. Candès
38
136
0
14 Jun 2017
Significance testing in non-sparse high-dimensional linear models
Significance testing in non-sparse high-dimensional linear models
Yinchu Zhu
Jelena Bradic
73
31
0
07 Oct 2016
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs
Adel Javanmard
Andrea Montanari
112
196
0
11 Aug 2015
The LASSO risk for gaussian matrices
The LASSO risk for gaussian matrices
Mohsen Bayati
Andrea Montanari
186
318
0
16 Aug 2010
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