Citation

Taroni F, Garbolino P, Bozza S, Aitken C. Law Probab. Risk 2021; 20(1): 15-36.

Copyright

(Copyright © 2021, Oxford University Press)

DOI

10.1093/lpr/mgab007

PMID

unavailable

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.

Language: en