The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality

Li, Yang, Korb, Kevin, Allison, Lloyd

arXiv.org Machine Learning 

A family of Markov blankets in a faithful Bayesian network satisfies the symmetry and consistency properties. In this paper, we draw a bijection between families of consistent Markov blankets and moral graphs. We define the new concepts of weak recursive simpliciality and perfect elimination kits. We prove that they are equivalent to graph morality. In addition, we prove that morality can be decided in polynomial time for graphs with maximum degree less than $5$, but the problem is NP-complete for graphs with higher maximum degrees.

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