Strong Completeness And Faithfulness In Bayesian Networks
- Chris Meek
UAI-P-1995-PG-411-418 |
Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999)
A completeness result for d-separation applied to discrete Bayesian networks is presented and it is shown that in a strong measure-theoretic sense almost all discrete distributions for a given network structure are faithful; i.e. the independence facts true of the distribution are all and only those entailed by the network structure.