Causal Structure Learning by Using Intersection of Markov Blankets
Yiran Dong Chuanhou Gao
In this paper, we introduce a novel causal structure learning algorithm
called Endogenous and Exogenous Markov Blankets Intersection (EEMBI), which
combines the properties of Bayesian networks and Structural Causal Models
(SCM). Furthermore, we propose an extended version of EEMBI, namely EEMBI-PC,
which integrates the last step of the PC algorithm into EEMBI.