Causal inference tutorial series covers DAG engines for separating correlation from causation
Nasereliver · x · 2026-10-20
Part 3 of the Introduction to Causal Inference tutorial series explains how to use a directed acyclic graph (DAG) engine to encode the data generating process (DGP), separating correlation from causation. Earlier sections are available on the author's Substack.
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