Comment on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Chengguang Dai, Buyu Lin, Xin Xing, and Jun S. Liu

DOI10.1080/01621459.2023.2223689OpenAlexW4383373354MaRDI QIDQ6077543

Qing-Zhao Zhang, Shuangge Ma

Publication date: 18 October 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2023.2223689

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
• E-values: calibration, combination and applications
• Controlling the false discovery rate via knockoffs
• Robust high-dimensional factor models with applications to statistical machine learning
• p-Values for High-Dimensional Regression
• Statistical Foundations of Data Science
• A modern maximum-likelihood theory for high-dimensional logistic regression
• A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models
• Threshold Selection in Feature Screening for Error Rate Control
• Controlling False Discovery Rate Using Gaussian Mirrors
• False Discovery Rate Control via Data Splitting
• Model-Free Conditional Feature Screening with FDR Control
• Confidence and discoveries with \(e\)-values

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