A comparison of graphical methods using the case of the murder of Meredith Kercher as an example
Abstract We compare three graphical methods for displaying evidence in a legal case: Wigmore Charts, Bayesian Networks, and Chain Event Graphs. We find that these methods are aimed at three distinct audiences, respectively, lawyers, forensic scientists and the police. The methods are illustrated using part of the evidence in the case of the murder of Meredith Kercher. More specifically, we focus on representing the list of propositions, evidence, testimony, and facts given in the first trial against Raffaele Sollecito and Amanda Knox with these graphical methodologies.
Authors
- Joseph B. Kadane (ORCID: https://orcid.org/0000-0003-1548-5912)
- A. P. Dawid (ORCID: https://orcid.org/0000-0002-7410-6882)
- Julia Mortera
- Amy L. Wilson (ORCID: https://orcid.org/0000-0002-1263-1403)
- Francesco Dotto
- Maxine Graves
- Gail Robertson (ORCID: https://orcid.org/0000-0002-2105-3684)
- Jim Q. Smith
Institutions
- Roma Tre University (IT)
- University of Cambridge (GB)
- University of Bristol (GB)
- University of Warwick (GB)
- Maxwell Institute for Mathematical Sciences (GB)
- Biomathematics and Statistics Scotland (GB)
- Carnegie Mellon University (US)
- University of Edinburgh (GB)
Publication Details
- Journal
- Law Probability and Risk
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/lpr/mgaf002
- Citations
- 1
- Primary Topic
- Bayesian Modeling and Causal Inference
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- UK Research and Innovation
- Engineering and Physical Sciences Research Council