Use of Bayesian Belief Networks in legal reasoning. Huygen November, P., E., M. Technical Report
Use of Bayesian Belief Networks in legal reasoning [pdf]Paper  abstract   bibtex   
The principles of Bayesian probability and Bayesian belief networks, and their applicability for judicial reasoning are briefly explained. As an example, a Bayesian belief network model has been constructed that compares the probabilities of two hypothesised causes of a single-car accident. It is concluded that Bayesian belief networks can be a suitable tool for lawyers to analyse the evidence in judicial cases, as well as a suitable tool to train students to perform those analyses and to avoid statistical pitfalls.
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 title = {Use of Bayesian Belief Networks in legal reasoning},
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 abstract = {The principles of Bayesian probability and Bayesian belief networks, and their applicability for judicial reasoning are briefly explained. As an example, a Bayesian belief network model has been constructed that compares the probabilities of two hypothesised causes of a single-car accident. It is concluded that Bayesian belief networks can be a suitable tool for lawyers to analyse the evidence in judicial cases, as well as a suitable tool to train students to perform those analyses and to avoid statistical pitfalls.},
 bibtype = {techreport},
 author = {Huygen November, P E M}
}
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