Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
Daniel Kumor · Carlos Cinelli · Elias Bareinboim
2020 Poster
Abstract
We develop a a new polynomial-time algorithm for identification of structural coefficients in linear causal models that subsumes previous state-of-the-art methods, unifying several disparate approaches to identification in this setting. Building on these results, we develop a procedure for identifying total causal effects in linear systems.
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