Onsite course: Introduction to GLMs with spatial, and spatial-temporal correlation using R-INLA. Monday 30 October - Friday 3 November 2023. Las Palmas, Gran Canaria.
We begin with an introduction how to add spatial dependency to regression models using frequentist tools. After discussing the limitations of this approach, we switch to Bayesian techniques. R-INLA is used to implement regression models and generalised linear models (GLM) with spatial, and spatial-temporal dependency.
During the course, several case studies are presented in which the statistical theory is integrated with applied analyses in a clear and understandable manner. The course also contains a short revision of generalised linear models (GLM). Additionally, we will explain the beta, Gamma, and Tweedie distributions.
Throughout the course we will use the R-INLA package in R. This is a non-technical. Provided you have the required knowledge, this is an easy-to-follow course.
1 hour face-to-face
The course includes a 1-hour face-to-face video chat with the instructors (to be used after the course). A discussion board (access for 12 months) allows for interaction on course content between instructors and participants. You are invited to apply the statistical techniques discussed during the course on your own data and if you encounter any problems, you can ask questions during the 1-hour face-to-face chat.
For more information, see the course flyer.