fingermarks1: fingermarks Bayesian Networks

In bnRep: A Repository of Bayesian Networks from the Academic Literature

fingermarks Bayesian Networks

Description

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

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);

Value

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

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.

bnRep documentation built on April 12, 2025, 1:13 a.m.