m-Transportability: Transportability of a Causal Effect from Multiple Environments

Authors

  • Sanghack Lee Iowa State University
  • Vasant Honavar Iowa State University

DOI:

https://doi.org/10.1609/aaai.v27i1.8596

Keywords:

causal relations, transfer knowledge, domain adaptation, transportability

Abstract

We study m-transportability, a generalization of transportability, which offers a license to use causal information elicited from experiments and observations in m>=1 source environments to estimate a causal effect in a given targetenvironment. We provide a novel characterization of m-transportability that directly exploits the completeness of do-calculus to obtain the necessary and sufficient conditions for m-transportability. We provide an algorithm for deciding m-transportability that determines whether a causal relation is m-transportable; and if it is, produces a transport formula, that is, a recipe for estimating the desired causal effect by combining experimental information from m source environments with observational information from the target environment.

Downloads

Published

2013-06-30

How to Cite

Lee, S., & Honavar, V. (2013). m-Transportability: Transportability of a Causal Effect from Multiple Environments. Proceedings of the AAAI Conference on Artificial Intelligence, 27(1), 583-590. https://doi.org/10.1609/aaai.v27i1.8596