Bayesian Inference of Epidemics on Networks via Belief Propagation
Bayesian Inference of Epidemics on Networks via Belief Propagation
We study several bayesian inference problems for irreversible stochastic epidemic models on networks from a statistical physics viewpoint. We derive equations which allow to accurately compute the posterior distribution of the time evolution of the state of each node given some observations. At difference with most existing methods, we allow …