Learning big Gaussian Bayesian networks: partition, estimation, and fusion

Jiaying Gu, Qing Zhou

Structure learning of Bayesian networks has always been a challenging problem. Nowadays, massive-size networks with thousands or more of nodes but fewer samples frequently appear i…