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Wiley InterScience | ||
![]() Journal of Forensic SciencesVolume 51 Issue 6, Pages 1350 - 1361 Published Online: 8 Nov 2006 © 2010 American Academy of Forensic Sciences The official journal of the American Academy of Forensic Sciences
Abstract | References | Full Text: HTML, PDF (Size: 258K) | Related Articles | Citation Tracking Two Items of Evidence, No Putative Source: An Inference Problem in Forensic Intelligence Copyright Copyright © 2006 by American Academy of Forensic Sciences KEYWORDS forensic science • Bayes' theorem • scientific evidence • forensic intelligence • decision theory • graphical models ABSTRACTABSTRACT: Intelligence analysts commonly associate cases on the basis of similarities found in compared characteristics of scientific evidence. The present paper studies some of the inferential difficulties associated with such operations. An analysis is proposed that breaks down the reasoning process into inference to common source, and inference to case linkage. The former requires an approach to the difficulty associated with evaluating the similarities of items of evidence from different cases with no putative source being available. The latter requires consideration to be given to the relevance of evidence. Throughout the paper, probability theory is used to describe the nature of the proposed inferences. Graphical models are also introduced with the aim of providing further insight into the dependence and independence relationships assumed to hold among the various propositions considered. Notions from decision theory are used to discuss ways in which intelligence analysts may assist investigators in deciding whether or not cases should be considered as linked. Received 9 Mar. 2005; and in revised form 6 July 2005, 9 June 2006; accepted 25 June 2006; published 8 Nov. 2006. |