The full Bayesian signi/cance test (FBST) for precise hypotheses is presented, with some illustrative applications. In the FBST we compute the evidence against the precise hypothesis. We discuss some of the theoretical properties of the FBST, and provide an invariant formulation for coordinate transformations, provided a reference density has been established. This evidence is the probability of the highest relative surprise set, “tangential” to the sub-manifold (of the parameter space) that defines the null hypothesis
In this paper, the notion of degree of inconsistency is introduced as a tool to evaluate the sensiti...
The Full Bayesian Significance Test, FBST, is extensively reviewed. Its test statistic, a genuine Ba...
The “Full Bayesian Significance Test e-value”, henceforth FBST ev, has received increasing attention...
The full Bayesian signi/cance test (FBST) for precise hypotheses is presented, with some illustrativ...
Abstract: A Bayesian measure of evidence for precise hypotheses is presented. The intention is to gi...
A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayes...
We review the definition of the Full Bayesian Significance Test (FBST), and summarize its main stati...
We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. ...
The full Bayesian significance test (FBST) was introduced by Pereira and Stern for measuring the evi...
In this paper, the notion of degree of inconsistency is introduced as a tool to evaluate the sensiti...
The Full Bayesian Significance Test, FBST, is extensively reviewed. Its test statistic, a genuine Ba...
The “Full Bayesian Significance Test e-value”, henceforth FBST ev, has received increasing attention...
The full Bayesian signi/cance test (FBST) for precise hypotheses is presented, with some illustrativ...
Abstract: A Bayesian measure of evidence for precise hypotheses is presented. The intention is to gi...
A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayes...
We review the definition of the Full Bayesian Significance Test (FBST), and summarize its main stati...
We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. ...
The full Bayesian significance test (FBST) was introduced by Pereira and Stern for measuring the evi...
In this paper, the notion of degree of inconsistency is introduced as a tool to evaluate the sensiti...
The Full Bayesian Significance Test, FBST, is extensively reviewed. Its test statistic, a genuine Ba...
The “Full Bayesian Significance Test e-value”, henceforth FBST ev, has received increasing attention...