Causal Structure Learning by Using Intersection of Markov Blankets

Yiran Dong, Chuanhou Gao
7/1/2023
stat.MLcs.LG

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Abstract

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.

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Cite this paper

@article{dong2023causal,
  title  = {Causal Structure Learning by Using Intersection of Markov Blankets},
  author = {Yiran Dong and Chuanhou Gao},
  year   = {2023},
  eprint = {2307.00227},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.00227v1}
}

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