Abstract
This chapter presents the PC-simple algorithm and illustrates how to use the algorithm in the exploration for local causal relationships around a target variable. PC-simple is a simplified version of the PC algorithm, a classic method for learning a complete casual Bayesian network. We firstly discuss how the PC algorithm establishes causal relationships by the way of detecting persistent associations, then we introduce PC-simple in detail, followed by the discussions on PC-simple. The last section of this chapter introduces the R implementation of PC-simple.
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Li, J., Liu, L., Le, T. (2015). Local Causal Discovery with a Simple PC Algorithm. In: Practical Approaches to Causal Relationship Exploration. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-14433-7_2
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DOI: https://doi.org/10.1007/978-3-319-14433-7_2
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