@article{ref1,
title="The Bayes' factor: the coherent measure for hypothesis confirmation",
journal="Law, probability and risk",
year="2021",
author="Taroni, Franco and Garbolino, Paolo and Bozza, Silvia and Aitken, Colin",
volume="20",
number="1",
pages="15-36",
abstract="What have been called 'Bayesian confirmation measures' or 'evidential support measures' offer a numerical expression for the impact of a piece of evidence on a judicial hypothesis of interest. The Bayes' factor, sometimes simply called the 'likelihood ratio', represents the best measure of the value of the evidence. It satisfies a number of necessary conditions on normative logical adequacy. It is shown that the same cannot be said for alternative expressions put forward by some legal and forensic quarters. A list of desiderata are given that support the choice of the Bayes' factor as the best measure for quantification of the value of evidence.<p /> <p>Language: en</p>",
language="en",
issn="1470-8396",
doi="10.1093/lpr/mgab007",
url="http://dx.doi.org/10.1093/lpr/mgab007"
}