Semantics of causal DAG models and the identification of direct and indirect effects 论文

摘要

Abstract Directed acyclic graphs (DAGs) are commonly used to represent causal models. The article by Dawid posits a causal model that is closely related to the model of Spirtes et al. (1993) and the model of Pearl (1993b). In this discussion I will compare and contrast the semantics of DAGs representing the Spirtes et al. model with that of DAGs representing the non-parametric structural equation (NPSE) model of Pearl (1995a) and the finest fully randomized causally interpreted structured tree graph (FRCISTG) model of Robins (1986).