This week, our presenter will be Zirou Zhou. The title and abstract are given below.

Title: Discussion of Spatial and Spatio-temporal Bayesian Models with R-INLA

Abstract: A brief introduction of the INLA package for Bayesian computation based on Spatial and spatio-temporal Bayesian models with R-INLA by Blangiardo, Marta, and Michela Cameletti. Key topics include the introduction of the Laplace approximation, a comparison of INLA and MCMC methodologies, and practical implementation of INLA in R, supported by illustrative samples. The discussion emphasizes the advantages of using INLA for efficient Bayesian inference in spatial contexts, highlighting its computational benefits and accessibility for researchers working with complex models.