MCMC methods for stochastic epidemic models
Philip D O ‘Neill · 2003
Abstract The previous article highlighted some of the challenges involved in performing statistical inference using stochastic models for infectious diseases. These challenges arise due to both the inherent features of infectious disease outbreak data, for instance a high level of dependency in such data and a lack of complete observational information, and also the relative mathematical intractability of even very simple stochastic epidemic models.