Uncertainty in Artificial Intelligence
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Maximum likelihood fitting of acyclic directed mixed graphs to binary data
Robin Evans, Thomas Richardson
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.
Keywords:
Pages: 177-184
PS Link:
PDF Link: /papers/10/p177-evans.pdf
BibTex:
@INPROCEEDINGS{Evans10,
AUTHOR = "Robin Evans and Thomas Richardson",
TITLE = "Maximum likelihood fitting of acyclic directed mixed graphs to binary data",
BOOKTITLE = "Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-10)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2010",
PAGES = "177--184"
}


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