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

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

25 January 2020

Emmanuel J. Candès

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

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Title
Universality of Estimator for High-Dimensional Linear Models with Block Dependency Toshiki Tsuda Masaaki Imaizumi 53 0 0 25 Oct 2024
Dimension-free uniform concentration bound for logistic regression Shogo H. Nakakita 90 1 0 28 May 2024
High-Dimensional Single-Index Models: Link Estimation and Marginal Inference Kazuma Sawaya Yoshimasa Uematsu Masaaki Imaizumi 95 2 0 27 Apr 2024
Asymptotics of resampling without replacement in robust and logistic regression Pierre C. Bellec Takuya Koriyama 116 1 0 02 Apr 2024
Universality in block dependent linear models with applications to nonparametric regression Samriddha Lahiry Pragya Sur 75 1 0 30 Dec 2023
Jeffreys-prior penalty for high-dimensional logistic regression: A conjecture about aggregate bias Ioannis Kosmidis Patrick Zietkiewicz 18 0 0 19 Nov 2023
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality Sining Chen Leonardo Defilippis Bruno Loureiro G. Sicuro 64 11 0 28 Sep 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions Kai Tan Pierre C. Bellec 54 5 0 28 May 2023
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models Kazuma Sawaya Yoshimasa Uematsu Masaaki Imaizumi 77 2 0 28 May 2023
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach Urte Adomaityte G. Sicuro P. Vivo 59 10 0 06 Apr 2023
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models Lijia Zhou Frederic Koehler Pragya Sur Danica J. Sutherland Nathan Srebro 155 9 0 21 Oct 2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension Binh Duc Nguyen Bertrand Thirion Sylvain Arlot 26 6 0 29 May 2022
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders S. Jun S. Lee 79 1 0 27 May 2022
Observable adjustments in single-index models for regularized M-estimators Pierre C. Bellec 64 10 0 14 Apr 2022
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression Steve Yadlowsky T. Yun Cory Y. McLean Alexander DÁmour 32 15 0 23 Mar 2021
Out-of-sample error estimate for robust M-estimators with convex penalty Pierre C. Bellec 129 17 0 26 Aug 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- $\ell_1$ -Norm Interpolated Classifiers Tengyuan Liang Pragya Sur 133 70 0 05 Feb 2020