Gómez-Villegas, M.A.; Main, P.; Navarro, H.; Susi, R. - In: Journal of Multivariate Analysis 124 (2014) C, pp. 214-225
Bayesian networks (BNs) have become an essential tool for reasoning under uncertainty in complex models. In particular, the subclass of Gaussian Bayesian networks (GBNs) can be used to model continuous variables with Gaussian distributions. Here we focus on the task of learning GBNs from data....