Abstract
Two or more Bayesian Networks are Markov equivalent when their
corresponding acyclic digraphs encode the same set of conditional independence
(= CI) restrictions. Therefore, the search space of Bayesian
Networks may be organized in classes of equivalence, where each of
them consists of a particular set of CI restrictions. The collection
of sets of CI
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