Under a Bayesian framework, we first conduct a systematic

Data augmented Markov Chain Monte Carlo (MCMC) algorithms are employed to make inference for unobserved infection times and model parameters.Under a Bayesian framework, we first conduct a systematic investigation of three different but natural methods of model adequacy for SIR (Susceptible Infective Removed) epidemic models.We proceed to develop a new two stage method for assessing […]