theft1: theft Bayesian Networks

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

theft Bayesian Networks

Description

Evaluating methods for setting a prior probability of guilt.

Format

A discrete Bayesian network representing a legal scenario. Probabilities were given within the referenced paper. The vertices are:

EredHanded

(F, T);

EseenCS

(F, T);

EWallet

(F, T);

Guilty

(F, T);

Value

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

References

van Leeuwen, L., Verheij, B., Verbrugge, R., & Renooij, S. (2023). Evaluating Methods for Setting a Prior Probability of Guilt. In Legal Knowledge and Information Systems (pp. 63-72). IOS Press.

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