Learning Gaussian DAGs from Network Data

Hangjian Li, Oscar Hernan Madrid Padilla, Qing Zhou

Structural learning of directed acyclic graphs (DAGs) or Bayesian networks has been studied extensively under the assumption that data are independent. We propose a new Gaussian DA…