@techreport{
 title = {Use of Bayesian Belief Networks in legal reasoning},
 type = {techreport},
 id = {997f6a85-4147-3264-930f-1c031a43ff63},
 created = {2019-11-24T00:05:47.672Z},
 accessed = {2019-11-23},
 file_attached = {true},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {dd0b66b1-f60b-324e-aaa2-d1b8e5ba9e0c},
 last_modified = {2019-11-24T00:42:38.427Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 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, P E M}
}

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