Maximum likelihood fitting of acyclic directed mixed graphs to binary data
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.
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2010
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