This is an open online live workshop (max 8 participants)
Open online live workshop: GLM with spatial, temporal and spatial-temporal correlation using R-INLA.
- Dates: 6 - 9 January, 16, 17 January and 17 April 2025.
- Times: 09.00 - 16.00 UK time.
Course format
- This course consists of two comprehensive parts.
- In Part 1, we focus on teaching the application of GLMs with spatial, temporal, and spatio-temporal correlation using R-INLA.
- Part 2 is designed to give participants the opportunity to work hands-on with their own data and receive detailed feedback.
Brief outline
Part 1: Core Learning and Practical Application: This part introduces how to incorporate temporal, spatial, and spatio-temporal dependencies into GLMs using Bayesian techniques with R-INLA. You will learn to apply these methods in Gaussian, Poisson, and negative binomial GLMs.
To extend your learning, the course website includes on-demand videos demonstrating the use of additional distributions, such as Bernoulli, beta, Tweedie, and Gamma. These videos provide worked examples for analysing absence/presence data, proportional data, and continuous data, which you can explore at your own pace.
Part 2: Personalised Data Analysis and Feedback. Part 2 offers a truly hands-on experience. After Part 1 concludes, you will have six days to work independently, applying the techniques to your own data sets. During this time, you will have continuous support via a discussion board, chat, or email, ensuring you can address any challenges or questions as they arise.
During Part 2, each participant will have 1 – 1 1/2 hours to present their analysis, during which the instructors and fellow participants will offer detailed feedback and suggestions. This isn’t just a presentation session—it’s a collaborative experience where we dive deep into your results, discuss alternative approaches, and explore how to refine your analysis. This helps you move beyond theory and into the practical application, allowing you to strengthen your statistical understanding in a meaningful, project-based way.
We also include a Q&A and troubleshooting session, where we tackle common issues that arise during data analysis and provide expert advice on overcoming these obstacles.
.
For more information, see the course flyer: Flyer2024_01_SpatTempGLM.pdf