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The Likelihood Ratio Test in High-Dimensional Logistic Regression Is
  Asymptotically a Rescaled Chi-Square

The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square

5 June 2017
Pragya Sur
Yuxin Chen
Emmanuel J. Candès
ArXivPDFHTML

Papers citing "The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square"

13 / 13 papers shown
Title
Moment-Based Adjustments of Statistical Inference in High-Dimensional
  Generalized Linear Models
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models
Kazuma Sawaya
Yoshimasa Uematsu
Masaaki Imaizumi
29
2
0
28 May 2023
Tight Bounds on the Laplace Approximation Accuracy in High Dimensions
A. Katsevich
14
5
0
28 May 2023
Approximate message passing from random initialization with applications
  to $\mathbb{Z}_{2}$ synchronization
Approximate message passing from random initialization with applications to Z2\mathbb{Z}_{2}Z2​ synchronization
Gen Li
Wei Fan
Yuting Wei
26
10
0
07 Feb 2023
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized
  Linear Models
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou
Frederic Koehler
Pragya Sur
Danica J. Sutherland
Nathan Srebro
83
9
0
21 Oct 2022
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax
  Lower Bounds
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
T. Tony Cai
Yichen Wang
Linjun Zhang
FedML
38
20
0
08 Nov 2020
Asymptotic errors for convex penalized linear regression beyond Gaussian
  matrices
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
Cédric Gerbelot
A. Abbara
Florent Krzakala
26
16
0
11 Feb 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
30
68
0
05 Feb 2020
Knockoffs with Side Information
Knockoffs with Side Information
Zhimei Ren
Emmanuel Candès
11
20
0
22 Jan 2020
Does SLOPE outperform bridge regression?
Does SLOPE outperform bridge regression?
Shuaiwen Wang
Haolei Weng
A. Maleki
13
19
0
20 Sep 2019
Exact high-dimensional asymptotics for Support Vector Machine
Exact high-dimensional asymptotics for Support Vector Machine
Haoyang Liu
23
2
0
13 May 2019
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
23
285
0
19 Mar 2018
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
Yingying Fan
Emre Demirkaya
Gaorong Li
Jinchi Lv
23
70
0
31 Aug 2017
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
749
0
04 Apr 2008
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