How to model mutually exclusive events based on independent causal pathways in Bayesian network models
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 457
- Type
- D - Journal article
- DOI
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10.1016/j.knosys.2016.09.012
- Title of journal
- Knowledge-Based Systems
- Article number
- -
- First page
- 39
- Volume
- 113
- Issue
- -
- ISSN
- 1872-7409
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Solved a long-standing problem of Bayesian Network (BN) modelling especially relevant to legal arguments and models used in intelligence analysis. Early drafts helped secure Fenton's €1.7 million ERC Grant ERC-2013-AdG339182-BAYES_KNOWLEDGE. The solution was implemented in the widely used AgenaRisk BN software and was used by all sites involved in the multi-million dollar project (BARD, see https://bayesiandelphi.org/bard/) funded by the US Intelligence and Research Agency (IARPA) to tackle a variety of intelligence related problems. The solution has also been used by legal scholars and researchers (see, e.g https://doi.org/10.1007/s10506-016-9183-4) and in analyses of specific legal cases (see e.g. https://doi.org/10.1111/tops.12417).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -