This article gives a survey of the e-value, a statistical significance measure aka the evidence
rendered by observational data, X, in support of a statistical hypothesis, H, or, the other way …

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 …

The aim of this contribution is to discuss approximate Bayesian computation based on the
asymptotic theory of modified likelihood roots and log-likelihood ratios. Results on third …

The theory of higher-order asymptotics provides accurate approximations to posterior
distributions for a scalar parameter of interest, and to the corresponding tail area, for …

This article gives a survey of the e-value, a statistical significance measure aka the evidence
rendered by observational data, X, in support of a statistical hypothesis, H, or, the other way …

The aim of this paper is to introduce higher-order expansions for the Bayesian Discrepancy
Measure for testing precise statistical hypotheses on a scalar parameter of interest …