This is an open online live course
Open online live course: Introduction to GLM with spatial, and spatial-temporal correlation using R-INLA.
- Dates: 5 - 9 May 2024 (5 days).
- Times: 14.00 - 20.00 UK time (BST) (09.00-15.00 EDT).
- Included: 1 hour face-to-face video chat about your data. See flyer for details and conditions.
Course format
- Live online teaching is from 14.00 - 20.00 UK time (BST) (09.00-15.00 EDT).
- The course includes a few theory presentations along with a large number of exercises using real data sets.
- Detailed, annotated R code will be provided, and a brief period will be set aside for practice before each exercise is discussed in depth.
Brief outline
This course offers an introduction to the analysis of spatial, and spatial-temporal data using generalised linear models (GLMs) in R-INLA. The course begins 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.
We will apply GLMs to count data, binary data, proportional data and continuous data with spatial, and spatio-temporal dependency. We will utilise the Gaussian, Poisson, negative binomial, Bernoulli, beta, Tweedie and Gamma distributions.
For more information, see the course flyer: Flyer2025_05_SpatTempGLM_Online.pdf