Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference such as Markov Chain Monte Carlo that are more computationally demanding. In addition the R-INLA package for the R statistical software provides a way to fit such models in practice Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with St...See More