A Tutorial On Causal Inference

Abstract

The goal of this tutorial is twofold: to provide a description of some basic causal inference problems, models, algorithms, and assumptions in enough detail to understand recent developments in these areas; and to compare and contrast these with machine learning problems, models, algorithms, and assumptions

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Peter Spirtes
Carnegie Mellon University

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