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The Asymptotic Distribution of the MLE in High-dimensional Logistic
  Models: Arbitrary Covariance

The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance

25 January 2020
Qian Zhao
Pragya Sur
Emmanuel J. Candès
ArXivPDFHTML

Papers citing "The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance"

6 / 6 papers shown
Title
Asymptotics of resampling without replacement in robust and logistic
  regression
Asymptotics of resampling without replacement in robust and logistic regression
Pierre C. Bellec
Takuya Koriyama
24
1
0
02 Apr 2024
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
34
2
0
28 May 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
Average Adjusted Association: Efficient Estimation with High Dimensional
  Confounders
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
S. Jun
S. Lee
39
1
0
27 May 2022
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
42
63
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
37
68
0
05 Feb 2020
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