Garbolino Paolo, Taroni Franco
School of Humanities, Scuola Normale Superiore, 56126 Pisa, Italy.
Forensic Sci Int. 2002 Feb 18;125(2-3):149-55. doi: 10.1016/s0379-0738(01)00642-9.
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.
贝叶斯网络为表示不确定证据中的认知关系提供了宝贵的帮助。本文提出了一些简单的贝叶斯网络，用于对有关科学证据的推理模式进行标准分析，并讨论了网络背后的基本原理、相应的概率公式以及所需的概率评估。
