Practical Approaches to Causal Relationship ExplorationA Local Causal Discovery Algorithm for High Dimensional Data
Practical Approaches to Causal Relationship Exploration: A Local Causal Discovery Algorithm for...
Li, Jiuyong; Liu, Lin; Le, Thuc Duy
2015-03-03 00:00:00
[In this chapter we introduce HITON-PC, another local causal discovery algorithm for finding the parents and children of a given target variable. Similar to PC-simple, HITON-PC applies conditional independence tests to identify strong and persistent associations between variables, but with a different approach to pruning the search space for the tests. This chapter firstly presents the basic idea of HITON-PC, then the algorithm is described in detail and illustrated with a simple example. The time complexity and false discoveries of HITON-PC are also discussed, and the chapter ends with the introduction to a software tool containing the implementation of HITON-PC.]
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Practical Approaches to Causal Relationship ExplorationA Local Causal Discovery Algorithm for High Dimensional Data
[In this chapter we introduce HITON-PC, another local causal discovery algorithm for finding the parents and children of a given target variable. Similar to PC-simple, HITON-PC applies conditional independence tests to identify strong and persistent associations between variables, but with a different approach to pruning the search space for the tests. This chapter firstly presents the basic idea of HITON-PC, then the algorithm is described in detail and illustrated with a simple example. The time complexity and false discoveries of HITON-PC are also discussed, and the chapter ends with the introduction to a software tool containing the implementation of HITON-PC.]
Published: Mar 3, 2015
Keywords: High Dimensional Data; Target Variable; Priority Queue; Maximum Order; Independence Test
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