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Maximum likelihood fitting of acyclic directed mixed graphs to binary data
Published 15 Mar 2012 in stat.ME and cs.AI | (1203.3479v1)
Abstract: Acyclic directed mixed graphs, also known as semi-Markov models represent the conditional independence structure induced on an observed margin by a DAG model with latent variables. In this paper we present the first method for fitting these models to binary data using maximum likelihood estimation.
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