The Mathematics of Causal Inference

Forthcoming, IMS 2013 Medallion Lecture VI, Proceedings of the Joint Statistical Meetings Conference, 2013.

15 Pages Posted: 26 Oct 2013

See all articles by Judea Pearl

Judea Pearl

University of California, Los Angeles (UCLA) - Computer Science Department

Date Written: September 25, 2013

Abstract

This paper reviews concepts, principles and tools that have led to a coherent mathematical theory of causation based on structural models. The theory provides solutions to a number of problems in causal inference, including questions of confounding control, policy analysis, mediation, missing data and the integration of data from diverse studies.

Keywords: Causal Inference, confounding, mediation, missing data, meta analysis

Suggested Citation

Pearl, Judea, The Mathematics of Causal Inference (September 25, 2013). Forthcoming, IMS 2013 Medallion Lecture VI, Proceedings of the Joint Statistical Meetings Conference, 2013. , Available at SSRN: https://ssrn.com/abstract=2343774

Judea Pearl (Contact Author)

University of California, Los Angeles (UCLA) - Computer Science Department ( email )

4732 Boelter Hall
Los Angeles, CA 90095
United States

HOME PAGE: http://www.cs.ucla.edu/~judea/

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