Bayesian Inference Is Unaffected by Selection: Fact or Fiction?

DOI10.1080/00031305.2020.1858963OpenAlexW3114630233MaRDI QIDQ5050792

David A. Harville

Publication date: 18 November 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2020.1858963

zbMATH Keywords

selectionBayesian inferencepredictive inferenceconditional inferencefrequentist properties

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Demystifying the bias from selective inference: a revisit to Dawid's treatment selection problem
• Valid post-selection inference
• Statistical approaches to interim monitoring of medical trials: A review and commentary
• Scalable methods for Bayesian selective inference
• Robust Bayesian analysis of selection models
• Survival analysis. Techniques for censored and truncated data.
• Computer Age Statistical Inference
• The Well-Calibrated Bayesian
• Adjusted Bayesian Inference for Selected Parameters

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