ML Anthology

Strong Completeness and Faithfulness in Bayesian Networks

Christopher Meek
UAI 1995 pp. 411-418
/uai/1995/meek1995uai-strong/

Abstract

A completeness result for d-separation applied to discrete Bayesian networks is presented and it is shown that in a strong measure-theoretic sense almost all discrete distributions for a given network structure are faithful; i.e. the independence facts true of the distribution are all and only those entailed by the network structure

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Cite

Text

Meek. "Strong Completeness and Faithfulness in Bayesian Networks." Conference on Uncertainty in Artificial Intelligence, 1995.

Markdown

[Meek. "Strong Completeness and Faithfulness in Bayesian Networks." Conference on Uncertainty in Artificial Intelligence, 1995.](https://mlanthology.org/uai/1995/meek1995uai-strong/)

BibTeX

@inproceedings{meek1995uai-strong,
  title     = {{Strong Completeness and Faithfulness in Bayesian Networks}},
  author    = {Meek, Christopher},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1995},
  pages     = {411-418},
  url       = {https://mlanthology.org/uai/1995/meek1995uai-strong/}
}