On the Intersection Property of Conditional Independence and its Application to Causal Discovery
This work investigates the intersection property of conditional independence. It states that for random variables A,B,C$$A,B,C$$ and X we have that X⊥⊥A|B,C$$X \bot \bot A{\kern 1pt} {\kern 1pt} |{\kern 1pt} {\kern 1pt} B,C$$ and X⊥⊥B|A,C$$X\, \bot \bot\, B{\kern 1pt} {\kern 1pt} |{\kern 1pt} {\kern...
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| Format: | Article |
| Language: | English |
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De Gruyter
2015-03-01
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| Series: | Journal of Causal Inference |
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| Online Access: | https://doi.org/10.1515/jci-2014-0015 |