A response to “Likelihood ratio as weight of evidence: A closer look” by Lund and Iyer
Détails
ID Serval
serval:BIB_78774196195F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A response to “Likelihood ratio as weight of evidence: A closer look” by Lund and Iyer
Périodique
Forensic Science International
ISSN
0379-0738
Statut éditorial
Publié
Date de publication
22/05/2018
Peer-reviewed
Oui
Volume
288
Pages
e15-e19
Langue
anglais
Résumé
Recently, Lund and Iyer (L&I) raised an argument regarding the use of likelihood ratios in court. In our view,
their argument is based on a lack of understanding of the paradigm. L&I argue that the decision maker
should not accept the expert’s likelihood ratio without further consideration. This is agreed by all parties.
In normal practice, there is often considerable and proper exploration in court of the basis for any
probabilistic statement. We conclude that L&I argue against a practice that does not exist and which no one
advocates. Further we conclude that the most informative summary of evidential weight is the likelihood
ratio. We state that this is the summary that should be presented to a court in every scientific assessment
of evidential weight with supporting information about how it was constructed and on what it was based.
their argument is based on a lack of understanding of the paradigm. L&I argue that the decision maker
should not accept the expert’s likelihood ratio without further consideration. This is agreed by all parties.
In normal practice, there is often considerable and proper exploration in court of the basis for any
probabilistic statement. We conclude that L&I argue against a practice that does not exist and which no one
advocates. Further we conclude that the most informative summary of evidential weight is the likelihood
ratio. We state that this is the summary that should be presented to a court in every scientific assessment
of evidential weight with supporting information about how it was constructed and on what it was based.
Mots-clé
Forensic evidence interpretation, evidential weight, LR, Bayesian approach, Bayes’ theorem
Création de la notice
31/05/2018 13:45
Dernière modification de la notice
20/08/2019 14:35