Enhancing Identification of Causal Effects by Pruning

19 Jun 2018Santtu TikkaJuha Karvanen

Causal models communicate our assumptions about causes and effects in real-world phe- nomena. Often the interest lies in the identification of the effect of an action which means deriving an expression from the observed probability distribution for the interventional distribution resulting from the action... (read more)

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