This is the course repository for the course, "An introduction to Bayesian modelling using greta", run on November 16 + 17 through the stat society of australia (course advertisement).
This course is designed for those who want to learn how to do Bayesian modelling using the greta software. We assume users have the following background/experience:
- Familiarity with R
- Experience using linear models
- A rudimentary understanding of Bayesian inference
After this course you will be able to:
- Fit and predict from Bayesian generalised linear models in greta
- Check model convergence and fit (including prior and posterior predictive checks)
- Summarise MCMC outputs
- Be able to fit more advanced models including mixture and hierarchical models
- Create visualisations and tables of the model outputs for use in understanding model fit and for publication.
We will start with simple linear models on real ecological data, and gradually expand the models to be more complex and better represent the data. We will also have time at the end of the course to discuss fitting models specific to your own work - so feel free to bring along a problem you’d like to discuss!
The course will be delivered virtually, in two 4 hour blocks over two days.
- Coming soon ...
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