An extended likelihood ratio framework for interpreting evidence

This paper reviews some current methods, the likelihood ratio-based approach and the full Bayesian approach for the interpretation of evidence and discusses previously identified shortcomings in them. It suggests an approach based on a compromise--based on an extended likelihood ratio--that may comb...

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Bibliographic Details
Published in:Science & justice 2006-04, Vol.46 (2), p.69-78
Main Authors: Buckleton, J.S., Triggs, C.M., Champod, C.
Format: Article
Language:English
Subjects:
Bayesian framework, likelihood ratio
Bayesian networks
Criminology - methods
Humans
Interpretation of evidence
Likelihood Functions
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Summary:This paper reviews some current methods, the likelihood ratio-based approach and the full Bayesian approach for the interpretation of evidence and discusses previously identified shortcomings in them. It suggests an approach based on a compromise--based on an extended likelihood ratio--that may combine the merits of logic without overstepping acceptable bounds for the forensic scientist in the presentation of evidence. The approach is exposed formally and takes advantage of inferential networks called Bayesian networks.
ISSN:1355-0306
1876-4452
DOI:10.1016/S1355-0306(06)71577-5