A template Bayesian network for combining forensic evidence on an item with an uncertain relation to the disputed activities.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network for the evaluation of transfer evidence given activity level propositions considering a dispute about the relation of an item to one or more activities (Figure 3). The probabilities were given in the referenced paper. The vertices are:
Background on fibers matching Y top on sweater (false, true);
Background DNA U on sweater (false, true);
Case findings on sweater (false, true);
DNA findings on sweater (DNA X, DNA U, DNA X + U, No DNA);
DNA U present on sweater (false, true);
DNA X present on sweater (false, true);
Fiber findings on sweater(false, true);
Fibers matching Y garment on sweater (false, true);
Sweater worn by offender during incident (false, true);
Who strangled person Y? (H1, H2);
Transfer of DNA X from X to sweater via X wearing sweater two weekd before incident (false, true);
Transfer of DNA U from U to sweater via U strangling Y (false, true);
Transfer of DNA X from X to sweater via X strangling Y (false, true);
Transfer of fibers from Y top to sweater during incident (false, true);
Unknown person strangled person Y (false, true);
X wore sweater two weeks before incident (false, true);
Mr. X strangled person Y (false, true);
Vink, M., de Koeijer, J. A., & Sjerps, M. J. (2024). A template Bayesian network for combining forensic evidence on an item with an uncertain relation to the disputed activities. Forensic Science International: Synergy, 9, 100546.