The e-Value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences

Abstract

This article gives a conceptual review of the e-value, ev(H | X)—the epistemic value of hypothesis H given observations X. This statistical significance measure was developed in order to allow logically coherent and consistent tests of hypotheses, including sharp or precise hypotheses, via the Full Bayesian Significance Test (FBST). Arguments of analysis allow a full characterization of this statistical test by its logical or compositional properties, showing a mutual complementarity between results of mathematical statistics and the logical desiderata lying at the foundations of this theory.

Publication
Walter Carnielli on Reasoning, Paraconsistency, and Probability, Outstanding Contributions to Logic, vol. 32