School of Criminal Justice, University of Lausanne, Lausanne, Switzerland.
Department of Architecture and Arts, IUAV University, Venice, Italy.
Forensic Sci Int. 2021 May;322:110750. doi: 10.1016/j.forsciint.2021.110750. Epub 2021 Mar 15.
Generalised Bayes' factors and associated Bayesian networks are developed for the transfer of extrinsic evidence at the activity level, developments that extend previous work on activity level evaluation. A strategy for the assessment of extrinsic evidence is developed in stages with progressive increases in complexity. The final development is illustrated with an example involving fibres from clothing. This provides a list of factors involved in the consideration of a transfer case with activity level propositions and their roles in the determination of evidential value.
广义贝叶斯因子和相关贝叶斯网络被开发用于在活动水平上传递外在证据，这些发展扩展了之前关于活动水平评估的工作。一种分阶段逐步增加复杂性的评估外在证据的策略被开发出来。最后通过一个涉及衣物纤维的例子来说明这个策略。这个例子提供了一个考虑活动水平命题的转移案例中所涉及的因素列表，以及它们在确定证据价值方面的作用。
