Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses

doi:10.3390/e1040099

This article is

freely available
re-usable

Entropy 1999, 1(4), 99-110; doi:10.3390/e1040099

Article

Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses

Carlos A. De Bragança Pereira * and Julio M. Stern

Instituto de Matemática e Estatística, Universidade de São Paulo, 05315-970, Brasil

* Author to whom correspondence should be addressed.

Received: 9 February 1999 / Accepted: 9 April 1999 / Published: 25 October 1999

Download PDF Full-Text [81 KB, uploaded 16 September 2008 11:01 CET]

Abstract: A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayesian alternative to significance tests or, equivalently, to p-values. In fact, a set is defined in the parameter space and the posterior probability, its credibility, is evaluated. This set is the "Highest Posterior Density Region" that is "tangent" to the set that defines the null hypothesis. Our measure of evidence is the complement of the credibility of the "tangent" region.

Keywords: Bayes factor; numerical integration; global optimization; p-value; posterior density

Article Statistics

Click here to load and display the download statistics.

Cite This Article

MDPI and ACS Style

De Bragança Pereira, C.A.; Stern, J.M. Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses. Entropy 1999, 1, 99-110.

AMA Style

De Bragança Pereira C.A., Stern J.M. Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses. Entropy. 1999; 1(4):99-110.

Chicago/Turabian Style

De Bragança Pereira, Carlos A.; Stern, Julio M. 1999. "Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses." Entropy 1, no. 4: 99-110.

Entropy EISSN 1099-4300 Published by MDPI Publishing, Basel, Switzerland RSS E-Mail Table of Contents Alert