New skeleton-based approaches for Bayesian structure learning of Bayesian networks

@article{Masegosa2013NewSA,
  title={New skeleton-based approaches for Bayesian structure learning of Bayesian networks},
  author={Andr{\'e}s R. Masegosa and Seraf{\'i}n Moral},
  journal={Appl. Soft Comput.},
  year={2013},
  volume={13},
  pages={1110-1120}
}
Automatically learning the graph structure of a single Bayesian network (BN) which accurately represents the underlying multivariate probability distribution of a collection of random variables is a challenging task. But obtaining a Bayesian solution to this problem based on computing the posterior probability of the presence of any edge or any directed path between two variables or any other structural feature is a much more involved problem, since it requires averaging over all the possible… CONTINUE READING

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