A template for constructing Bayesian networks in forensic biology cases when considering activity level propositions

Duncan Taylor, Alex Biedermann, Tacha Hicks, Christophe Champod

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)
4 Downloads (Pure)

Abstract

The hierarchy of propositions has been accepted amongst the forensic science community for some time. It is also accepted that the higher up the hierarchy the propositions are, against which the scientist are competent to evaluate their results, the more directly useful the testimony will be to the court. Because each case represents a unique set of circumstances and findings, it is difficult to come up with a standard structure for evaluation. One common tool that assists in this task is Bayesian networks (BNs). There is much diversity in the way that BN can be constructed. In this work, we develop a template for BN construction that allows sufficient flexibility to address most cases, but enough commonality and structure that the flow of information in the BN is readily recognised at a glance. We provide seven steps that can be used to construct BNs within this structure and demonstrate how they can be applied, using a case example.

Original languageEnglish
Pages (from-to)136-146
Number of pages11
JournalForensic Science International: Genetics
Volume33
DOIs
Publication statusPublished - Mar 2018

Bibliographical note

1872-4973/ © 2017 The Authors. Published by Elsevier Ireland Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/

Keywords

  • Activity level propositions
  • Bayesian networks
  • Data
  • DNA
  • Evidence evaluation
  • Likelihood ratio

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