Evaluation of scientific evidence using Bayesian networks

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• 作者：Garbolino ; Paolo ; Taroni ; Franco
• 关键词：Evidence interpretation ; Likelihood ratio ; Bayesian networks ; Bayes theorem
• 刊名：Forensic Science International
• 出版年：2002
• 期刊代码：104_03790738
• 类别：med
• 出版时间：February 18, 2002
• 卷：125
• 期：2-3
• 页码：149-155
• 文件大小：108 K

摘要

Bayesian networks provide a valuable aid for representing epistemic relationships in a body of uncertain evidence. The paper proposes some simple Bayesian networks for standard analysis of patterns of inference concerning scientific evidence, with a discussion of the rationale behind the nets, the corresponding probabilistic formulas, and the required probability assessments.