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.

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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

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article

A comparison of graphical methods using the case of the murder of Meredith Kercher as an example

Joseph B. Kadane, A. P. Dawid, Julia Mortera, Amy L. Wilson et al.
1 citations
Law Probability and Risk
Bayesian Modeling and Causal Inference
2.48
article

A comparison of graphical methods using the case of the murder of Meredith Kercher as an example

Joseph B. Kadane, A. P. Dawid, Julia Mortera, Amy L. Wilson, Francesco Dotto, Maxine Graves, Gail Robertson, Jim Q. Smith
article en
1 citations

Abstract

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.

Law Probability and RiskVol. 24(1)
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)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 10%
Bayesian Modeling and Causal Inference
2.48
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A comparison of graphical methods using the case of the murder of Meredith Kercher as an example — Joseph B. Kadane, A. P. Dawid, et al. · Law Probability and Risk (2025) | TGRS Research Map | TGRS