Sharpen statistical significance: evidence thresholds and Bayes factors sharpened into Occam's razor

DOI10.1002/STA4.215MaRDI QIDQ6541489

David R. Bickel

Publication date: 19 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

empirical Bayes methodsstrength of statistical evidencereproducibility crisisadjustment for simplicityvalue calibration

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• An explanatory rationale for priors sharpened into Occam's razors
• Size, power and false discovery rates
• Theory of probability.
• A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons
• Statistical Evidence
• Confidence distributions applied to propagating uncertainty to inference based on estimating the local false discovery rate: A fiducial continuum from confidence sets to empirical Bayes set estimates as the number of comparisons increases
• Small‐scale Inference: Empirical Bayes and Confidence Methods for as Few as a Single Comparison
• Confidence intervals, significance values, maximum likelihood estimates, etc. sharpened into Occam’s razors
• Calibration ofρValues for Testing Precise Null Hypotheses
• Principles of Statistical Inference
• How the Maximal Evidence of P-Values Against Point Null Hypotheses Depends on Sample Size
• On certain fundamental principles of scientific inquiry.

This page was built for publication: Sharpen statistical significance: evidence thresholds and Bayes factors sharpened into Occam's razor

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6541489)