Minimum Conditional Description Length Estimation for Markov Random Fields

9 Feb 2016Matthew G. ReyesDavid L. Neuhoff

In this paper we discuss a method, which we call Minimum Conditional Description Length (MCDL), for estimating the parameters of a subset of sites within a Markov random field. We assume that the edges are known for the entire graph $G=(V,E)$... (read more)

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