Causal Bayesian Network

A probabilistic graphical model in which random variables are nodes of a directed acyclic graph (DAG) whose edges represent direct causal influences; the joint distribution factorizes according to the graph via conditional probability distributions, and the graph plus probabilistic assumptions support causal inference including prediction under interventions and certain counterfactual queries.