arXiv AI By Amir Saki, Usef Faghihi

Beyond Means: Topological Causal Effects under Persistent-Homology Ignorability

Read the original on arXiv AI →

arXiv:2603. 14169v2 Announce Type: replace-cross Abstract: Average treatment effects (ATE) and conditional average treatment effects (CATE) are foundational causal estimands, but they target changes in expected outcomes and can miss treatment-induced changes in the shape of outcome distributions.

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