What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems

4 Apr 2019Oliver J. MaclarenRuanui Nicholson

We consider basic conceptual questions concerning the relationship between statistical estimation and causal inference. Firstly, we show how to translate causal inference problems into an abstract statistical formalism without requiring any structure beyond an arbitrarily-indexed family of probability models... (read more)

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