Bayesian networks and dissonant items of evidence: A case study

Détails

Ressource 1Demande d'une copie Sous embargo jusqu'au 10/10/2020.
Etat: Public
Version: de l'auteur
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_E4C5F2B13A1F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Bayesian networks and dissonant items of evidence: A case study
Périodique
Forensic Science International: Genetics
Auteur(s)
De March Ilaria, Taroni Franco
ISSN
1872-4973
Statut éditorial
Publié
Date de publication
10/10/2019
Volume
44
Langue
anglais
Résumé
The assessment of different items of evidence is a challenging process in forensic science, particularly when the relevant elements support different inferential directions. In this study, a model is developed to assess the joint probative value of three different analyses related to some biological material retrieved on an object of interest in a criminal case. The study shows the ability of probabilistic graphical models, say Bayesian networks, to deal with complex situations, those that one expects to face in real cases. The results obtained by the model show the importance of a conflict measure as an indication of inconsistencies in the model itself. A contamination event alleged by the defense is also introduced in the model to explain and solve the conflict. The study aims to give an insight in the application of a probabilistic model to real criminal cases.
Mots-clé
DNA evidence, Activity level interpretation, Bayesian networks, Conflict measure
Pubmed
Création de la notice
18/11/2019 14:49
Dernière modification de la notice
19/11/2019 7:09
Données d'usage