Marianne Clausel

Causal Effect Identifiability in Causal Abstractions: A Strict Hierarchy of Criteria

Identifying causal effects from observational data typically requires a fully specified causal graph, an assumption that is often unrealistic in complex or high-dimensional settings. Causal abstractions address this limitation by retaining only partial causal information, thereby defining equivalence classes of compati...