Exact Bayesian Tracking of Dynamic Network Topologies
This paper develops an exact Bayesian tracker for unweighted, directed graphs using nodal signal observations that yields the full posterior probability distribution over network states at each time step, naturally enabling uncertainty quantification, prediction, and principled decision-making.