The case of the Jeffreys-Lindley-paradox as a Bayes-frequentist compromise: a perspective based on the Rao-Lovric-theorem

DOI10.1007/s13171-023-00321-xOpenAlexW4386616595MaRDI QIDQ6123494

Riko Kelter

Publication date: 4 March 2024

Published in: Sankhyā. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13171-023-00321-x

zbMATH Keywords

hypothesis testingLindley's paradoxBayes-non-Bayes compromiseinterval hypothesespoint-null-zero-probability paradoxstandardized p-values

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bayesian inference (62F15)

Cites Work

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• The expected demise of the Bayes factor
• Almost sure hypothesis testing and a resolution of the Jeffreys-Lindley paradox
• Is Bayes posterior just quick and dirty confidence?
• Statistical decision theory and Bayesian analysis. 2nd ed
• Testing precise hypotheses. With comments and a rejoinder by the authors
• Unified frequentist and Bayesian testing of a precise hypothesis. With comments by Dennis V. Lindley, Thomas A. Louis and David Hinkley and a rejoinder by the authors
• A unified conditional frequentist and Bayesian test for fixed and sequential simple hypothesis testing
• Theory of statistics
• Mathematical statistics
• Bayesian Essentials with R
• A STATISTICAL PARADOX
• On the Foundations of Statistical Inference
• Statistical Evidence
• The Bayesian Choice
• Moving to a World Beyond “p < 0.05”
• ValidP-Values Behave Exactly as They Should: Some Misleading Criticisms ofP-Values and Their Resolution WithS-Values
• Measure and integration theory. Transl. from the German by Robert B. Burckel

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