A Bayesian Discrepancy Test (BDT) is proposed to evaluate the distance of a given hypothesis with respect to the available information (prior law and data). The proposed measure of evidence has properties of consistency and invariance. After having presented the similarities and differences between the BDT and other Bayesian tests, we proceed with the analysis of some multiparametric case studies, showing the properties of the BDT. Among them conceptual and interpretative simplicity, possibility of dealing with complex case studies.

翻译：提议进行巴耶斯差异测试(BDT)是为了评估某一假设与现有资料(原始法律和数据)的距离,拟议的证据衡量方法具有一致性和易变性,在介绍了巴耶斯和其他巴耶斯检验方法之间的相似和差异之后,我们着手分析一些多参数案例研究,显示巴耶斯特征测试的特性,其中包括概念和解释上的简单性,以及处理复杂案例研究的可能性。