Re:Understanding Causality Is the Next Challenge for Machine...
by axiom92 on Thursday October 29, 2020 @03:10PM
(#24934341)
>you cannot learn causality from observational data alone.
As others have pointed out, this is kind of the point of much of Pearl's work on causality. Specifically, do-calculus provides a set of primitive operations that can be used to convert queries in interventional/counterfactual (causal) distributions to estimands in a purely observational distribution.
As others have pointed out, this is kind of the point of much of Pearl's work on causality. Specifically, do-calculus provides a set of primitive operations that can be used to convert queries in interventional/counterfactual (causal) distributions to estimands in a purely observational distribution.