Learning Gaussian DAGs from Network Data

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 DAG model for dependent data which assumes the observations are correlated according to an undirected network. Under this...

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Bibliographische Detailangaben

Hauptverfasser:	Li, Hangjian, Padilla, Oscar Hernan Madrid, Zhou, Qing
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
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