The Case for Time in Causal DAGs

English

Séminaire Données et Aléatoire Théorie & Applications

19/03/2026 - 14:00 Alexander Reisach (Institut Mathématiques d'Orsay, Université Paris-Saclay) Salle 106

We make the case for incorporating a notion of time into causal directed acyclic graphs (DAGs). We demonstrate that nontemporal causal DAGs are ambiguous and obstruct justification of the acyclicity assumption. Assuming that causes precede effects, causal relationships are relative to the time order, and causal DAGs require temporal qualification. We propose a formalization via composite causal variables that refer to quantities at one or multiple time points. We emphasize that the acyclicity assumption requires different justifications depending on whether the time order allows cycles. We conclude by discussing implications for the interpretation and applicability of DAGs as causal models.