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.
Cite
@article{arxiv.2307.00227,
title = {Causal Structure Learning by Using Intersection of Markov Blankets},
author = {Yiran Dong and Chuanhou Gao},
journal= {arXiv preprint arXiv:2307.00227},
year = {2023}
}