Practical Approaches to Causal Relationship ExplorationLocal Causal Discovery with a Simple PC Algorithm
Practical Approaches to Causal Relationship Exploration: Local Causal Discovery with a Simple PC...
Li, Jiuyong; Liu, Lin; Le, Thuc Duy
2015-03-03 00:00:00
[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.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/practical-approaches-to-causal-relationship-exploration-local-causal-Hq5mqhZa5T
Practical Approaches to Causal Relationship ExplorationLocal Causal Discovery with a Simple PC Algorithm
[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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