Scoring Bayesian networks of mixed variables

@article{Andrews2017ScoringBN,
  title={Scoring Bayesian networks of mixed variables},
  author={Bryan Andrews and Joseph Ramsey and Gregory F. Cooper},
  journal={International Journal of Data Science and Analytics},
  year={2017},
  volume={6},
  pages={3-18}
}
In this paper we outline two novel scoring methods for learning Bayesian networks in the presence of both continuous and discrete variables, that is, mixed variables. While much work has been done in the domain of automated Bayesian network learning, few studies have investigated this task in the presence of both continuous and discrete variables while focusing on scalability. Our goal is to provide two novel and scalable scoring functions capable of handling mixed variables. The first method… CONTINUE READING

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