Recursive causal models 论文
1984Journal of the Australian Mathematical Society Series A Pure Mathematics and Statistics引用 216
Logic, Reasoning, and KnowledgeFormal Methods in VerificationBayesian Modeling and Causal Inference
摘要
Abstract The notion of a recursive causal graph is introduced, hopefully capturing the essential aspects of the path diagrams usually associated with recursive causal models. We describe the conditional independence constraints which such graphs are meant to embody and prove a theorem relating the fulfilment of these constraints by a probability distribution to a particular sort of factorisation. The relation of our results to the usual linear structural equations on the one hand, and to log-linear models, on the other, is also explained