Multivariate Counterfactual Systems And Causal Graphical Models
Methodology
2021-08-31 v2
Abstract
Among Judea Pearl's many contributions to Causality and Statistics, the graphical d-separation} criterion, the do-calculus and the mediation formula stand out. In this chapter we show that d-separation} provides direct insight into an earlier causal model originally described in terms of potential outcomes and event trees. In turn, the resulting synthesis leads to a simplification of the do-calculus that clarifies and separates the underlying concepts, and a simple counterfactual formulation of a complete identification algorithm in causal models with hidden variables.
Cite
@article{arxiv.2008.06017,
title = {Multivariate Counterfactual Systems And Causal Graphical Models},
author = {Ilya Shpitser and Thomas S. Richardson and James M. Robins},
journal= {arXiv preprint arXiv:2008.06017},
year = {2021}
}