Applied Causal Inference Powered by ML and AI

arXiv:2403.02467v1 Announce Type: cross
Abstract: An introduction to the emerging fusion of machine learning and causal inference. The book presents ideas from classical structural equation models (SEMs) and their modern AI equivalent, directed acyclical graphs (DAGs) and structural causal models (SCMs), and covers Double/Debiased Machine Learning methods to do inference in such models using modern predictive tools.

abstract arxiv book causal inference cs.lg econ.em equation fusion graphs ideas inference introduction machine machine learning modern modern ai stat.me stat.ml type