Causality: Models, Reasoning, and Inference

Judea Pearl

Science

A comprehensive treatment of causal inference that develops a mathematical framework for representing and reasoning about cause-and-effect relationships using structural equations, graphical models, and counterfactuals. Pearl introduces the do-calculus for inferring the effects of interventions from observational data. The book is a foundational reference in statistics, computer science, and the social sciences.