# Scoring and Searching over Bayesian Networks with Causal and Associative Priors

@article{Borboudakis2013ScoringAS, title={Scoring and Searching over Bayesian Networks with Causal and Associative Priors}, author={Giorgos Borboudakis and Ioannis Tsamardinos}, journal={ArXiv}, year={2013}, volume={abs/1408.2057} }

A significant theoretical advantage of search-and-score methods for learning Bayesian Networks is that they can accept informative prior beliefs for each possible network, thus complementing the data. In this paper, a method is presented for assigning priors based on beliefs on the presence or absence of certain paths in the true network. Such beliefs correspond to knowledge about the possible causal and associative relations between pairs of variables. This type of knowledge naturally arises… CONTINUE READING

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