Three Case Studies of Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Data
This paper shows three complete examples of how two-stage MCMC algorithms can be used to efficiently fit Bayesian spatio-temporal models to large datasets and compares the resulting posterior samples and computational efficiency with those obtained using a standard single-stage MCMC algorithm.