The Role of the Bayes Factor in the Evaluation of Evidence

Author:

Aitken Colin1,Taroni Franco2,Bozza Silvia32

Affiliation:

1. 1School of Mathematics and the Maxwell Institute of Mathematical Sciences, The University of Edinburgh, Edinburgh, United Kingdom; email: cgga@ed.ac.uk

2. 2School of Criminal Justice, The University of Lausanne, Lausanne, Switzerland

3. 3Department of Economics, Ca’ Foscari University of Venice, Venice, Italy

Abstract

The use of the Bayes factor as a metric for the assessment of the probative value of forensic scientific evidence is largely supported by recommended standards in different disciplines. The application of Bayesian networks enables the consideration of problems of increasing complexity. The lack of a widespread consensus concerning key aspects of evidence evaluation and interpretation, such as the adequacy of a probabilistic framework for handling uncertainty or the method by which conclusions regarding how the strength of the evidence should be reported to a court, has meant the role of the Bayes factor in the administration of criminal justice has come under increasing challenge in recent years. We review the many advantages the Bayes factor has as an approach to the evaluation and interpretation of evidence.

Publisher

Annual Reviews

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