Maximum likelihood fitting of acyclic directed mixed graphs to binary data
Methodology
2012-03-19 v1 Artificial Intelligence
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.
Cite
@article{arxiv.1203.3479,
title = {Maximum likelihood fitting of acyclic directed mixed graphs to binary data},
author = {Robin J. Evans and Thomas S. Richardson},
journal= {arXiv preprint arXiv:1203.3479},
year = {2012}
}
Comments
Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)