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Practical Approaches to Causal Relationship ExplorationExperimental Comparison and Discussions

Practical Approaches to Causal Relationship Exploration: Experimental Comparison and Discussions [In Chaps. 2–5 we have presented four methods for discovering the causal relationships around a given target variable, focusing on the basic ideas and procedures of the methods. In this chapter, we apply the methods to a series of data sets to evaluate and compare their efficiency. Discussions on the experimental results are provided in this chapter too.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Practical Approaches to Causal Relationship ExplorationExperimental Comparison and Discussions

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2015
ISBN
978-3-319-14432-0
Pages
67 –72
DOI
10.1007/978-3-319-14433-7_6
Publisher site
See Chapter on Publisher Site

Abstract

[In Chaps. 2–5 we have presented four methods for discovering the causal relationships around a given target variable, focusing on the basic ideas and procedures of the methods. In this chapter, we apply the methods to a series of data sets to evaluate and compare their efficiency. Discussions on the experimental results are provided in this chapter too.]

Published: Mar 3, 2015

Keywords: Target Variable; Conditional Independence Tests; Causal Rules; Partial Association Tests; High-dimensional Data Sets

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