Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models”

DOI10.1080/01621459.2023.2231063OpenAlexW4385658261MaRDI QIDQ6077546

Michael Law, Peter Bühlmann

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/10.1080/01621459.2023.2231063

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• On asymptotically optimal confidence regions and tests for high-dimensional models
• Statistics for high-dimensional data. Methods, theory and applications.
• Controlling the false discovery rate via knockoffs
• Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
• Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
• Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
• A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models
• Controlling False Discovery Rate Using Gaussian Mirrors
• False Discovery Rate Control via Data Splitting

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