bnRep (version 0.0.3)

fingermarks1: fingermarks Bayesian Networks

Description

Using case specific experiments to evaluate fingermarks on knives given activity level propositions.

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A discrete Bayesian network for the evaluation of fingermarks given activity level propositions. The probabilities were given within the referenced paper. The vertices are:

C1

Propositions (Hp, Hd);

C2

Suspect stabbed the victime with the knife (True, False);

C3

Suspect cut food with the knife (True, False);

C4

Marks on handle - stabbing (FM S present, FM S absent);

C5

Marks on back - stabbing (FM S present, FM S absent);

C6

Marks on blade - stabbing (FM S present, FM S absent);

C7

Marks on handle - cutting (FM S present, FM S absent);

C8

Marks on back - cutting (FM S present, FM S absent);

C9

Marks on blade - cutting (FM S present, FM S absent);

C10

Findings - Marks on handle (FM S present, FM S absent);

C11

Findings - Marks on blade (FM S present, FM S absent);

C12

Findings - Marks on back (FM S present, FM S absent);

References

de Ronde, A., Kokshoorn, B., de Puit, M., & de Poot, C. J. (2021). Using case specific experiments to evaluate fingermarks on knives given activity level propositions. Forensic Science International, 320, 110710.