From dependency to causality: a machine learning approach

19 Dec 2014Gianluca BontempiMaxime Flauder

The relationship between statistical dependency and causality lies at the heart of all statistical approaches to causal inference. Recent results in the ChaLearn cause-effect pair challenge have shown that causal directionality can be inferred with good accuracy also in Markov indistinguishable configurations thanks to data driven approaches... (read more)

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