On Undirected Representations of Bayesian Networks

  title={On Undirected Representations of Bayesian Networks},
  author={S. K. Michael Wong and Cory J. Butz and Dan Wu},
Empirical studies clearly demonstrate the effectiveness of the nested jointree (NJT) representation in probabilistic inference. A NJT is a traditional Markov network (MN) together with a possible local MN nested in each clique. These nested MNs can themselves contain other nested MNs in a recursive manner. However, the NJT representation is not necessarily a faithful representation of a given Bayesian network (BN). This means that the effectiveness of a NJT has been demonstrated while only… CONTINUE READING