theft2 dataset

theft Bayesian Networks

Evaluating methods for setting a prior probability of guilt. data

Format

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

• AtCrimeScene: (F, T);
• EredHanded: (F, T);
• EseenCS: (F, T);
• EWallet: (F, T);
• Guilty: (F, T);

Returns

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.