Abstract:
Stochastic epidemic models such as the Susceptible-Infectious-Removed (SIR) model are widely used to model the spread of disease at the population level, but fitting these models to observational data present significant challenges. In particular, the marginal likelihood of such stochastic processes conditioned on observed endpoints a notoriously difficult task. As a result,...