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دسته بندی:
حقوق خصوصی - Private law
سال انتشار:
2020
عنوان انگلیسی مقاله:
Bayesian networks and dissonant items of evidence: A case study
ترجمه فارسی عنوان مقاله:
شبکه های بیزی و شواهد متفرق: یک مطالعه موردی
منبع:
Sciencedirect - Elsevier - Forensic Science International: Genetics, 44 (2020) 102172. doi:10.1016/j.fsigen.2019.102172
نویسنده:
Ilaria De March⁎, Franco Taroni
چکیده انگلیسی:
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.
Keywords: DNA evidence | Activity level interpretation | Bayesian networks | Conflict measure
قیمت: رایگان
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