Using a Graphical Method to Assist the Evaluation of Complicated Patterns of Evidence
- 1 March 1997
- journal article
- Published by ASTM International in Journal of Forensic Sciences
- Vol. 42 (2) , 226-231
- https://doi.org/10.1520/jfs14102j
Abstract
The forensic scientist often faces the task of interpreting patterns of evidence which involve many variables. Combining different items of evidence within a complex framework of circumstances requires logical powers of reasoning and this can be assisted by formal methods. We discuss one such method which, as has already been pointed out by Aitken and Gammerman (1), offers considerable potential for creating probabilistic expert systems to assist in evidence interpretation. In particular, we show how the method, which is based on a directed acyclic graph, enables dependencies between different aspects of the evidence to be considered. The discussion is based on an imaginary case example.Keywords
This publication has 8 references indexed in Scilit:
- Bayesian Analysis in Expert SystemsStatistical Science, 1993
- The Use Of Statistics In Forensic SciencePublished by Taylor & Francis ,1991
- Independence properties of directed markov fieldsNetworks, 1990
- The Theory of Interpreting Scientific Transfer EvidencePublished by Springer Nature ,1990
- Some aspects of the Bayesian approach to evidence evaluationJournal of the Forensic Science Society, 1989
- Probabilistic reasoning in evidential assessmentJournal of the Forensic Science Society, 1989
- A Fiber Data Collection for Forensic Scientists—Collection and Examination MethodsJournal of Forensic Sciences, 1987
- The Probative Value of Bloodstains on ClothingMedicine, Science and the Law, 1978