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Just so people know, there is a competing/complementary approach to causality in statistics, called the potential outcomes or (Neyman-)Rubin causal model, which
by le0n 11y ago
Just so people know, there is a competing/complementary approach to causality in statistics, called the potential outcomes or (Neyman-)Rubin causal model, which as I understand it is currently more popular than Pearl's graphical/do-calculus approach.
- TheLogothete 11y agoThere is also TS related body of knowledge about causal impact using the notion of counterfactuals. Google has sponsored research in the field [1] and also released an R package [2]. [1] http://research.google.com/pubs/pub41854.html http://research.google.com/pubs/pub41854.html [2] https://google.github.io/CausalImpact/CausalImpact.html https://google.github.io/CausalImpact/CausalImpact.html