Work

Potential outcome and decision theoretic foundations for statistical causality

Year: 2023

Type: article

Abstract: In a recent work published in this journal, Philip Dawid has described a graphical causal model based on decision diagrams. This article describes how single-world intervention graphs (SWIGs) relate to these diagrams. In this way, a correspondence is established between Dawid's approach and those based on potential outcomes such as Robins’ finest fully randomized causally interpreted structured tree graphs. In more detail, a reformulation of Dawid s theory is given that is essentially equivalent to his proposal and isomorphic to SWIGs.

Source: Journal of Causal Inference

DOI: 10.1515/jci-2022-0012

Authors: Thomas S. Richardson, James M. Robins

Institutions: University of Washington, Harvard University

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,082

Funders: National Institutes of Health, Simons Institute for the Theory of Computing, University of California Berkeley, Office of Naval Research, National Institute of Allergy and Infectious Diseases