Symmetries and Causality: Causal Effect Identification Beyond IID Data
This paper provides formal descriptions of models and queries, setting up this language, and the formal infrastructure and strategies for their mathematically rigorous identification from data within this formalism to unify and substantially extend the scope of causal reasoning.
Martin Rabel, Jakob Runge
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