SLOE: A Faster Method for Statistical Inference in High-Dimensional
Logistic Regression

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SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression

23 March 2021

Steve Yadlowsky

Alexander DÁmour

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Papers citing "SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression"

8 / 8 papers shown

Title
Universality of Estimator for High-Dimensional Linear Models with Block Dependency Toshiki Tsuda Masaaki Imaizumi 53 0 0 25 Oct 2024
High-Dimensional Single-Index Models: Link Estimation and Marginal Inference Kazuma Sawaya Yoshimasa Uematsu Masaaki Imaizumi 95 2 0 27 Apr 2024
Jeffreys-prior penalty for high-dimensional logistic regression: A conjecture about aggregate bias Ioannis Kosmidis Patrick Zietkiewicz 13 0 0 19 Nov 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions Kai Tan Pierre C. Bellec 49 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
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension Binh Duc Nguyen Bertrand Thirion Sylvain Arlot 21 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