2026
Temporal Properties of Conditional Independence in Dynamic Bayesian Networks
AAAI 2026technical
Dynamic Bayesian networks (DBNs) are compact graphical representations used to model probabilistic systems where interdependent random variables and their distributions evolve over time. In this paper, we study the verification of the evolution of conditional-independence (CI) propositions against t