Workshop: Introduction to Bayesian spatial statistics with inlabru in R
Workshop, University of Edinburgh, School of Mathematics, 2025
Tutor at the workshop.
Bayesian Latent Gaussian Models (LGMs) are closely related to Generalized Additive Models (GAMs), offering Bayesian estimation and uncertainty quantification for spatial and spatio-temporal models. The INLA and inlabru R packages combine these Gaussian process models with numerical optimization and integration techniques, in a fast and flexible analysis toolkit. The taught part of the course will provide an overview of LGM theory and the INLA/inlabru methods and software.
More info at Introduction to Bayesian spatial statistics with inlabru in R
