SIB course Introduction to Bayesian statistics with R
Welcome to the website of the SIB course “Introduction to Bayesian statistics with R”, which is addressed to beginners wanting to become familiar with the core concepts of Bayesian statistics through lectures and applied examples.
The course is divided in different lectures, each consisting in a deck of slides and a series of exercises. The slides are available as shiny presentation, or as rendered html files. The exercises are distributed as a pdf file, with an additionnal pdf containing the solutions.
note: you can grab the whole course material in one go by cloning or downloading the git repository
Learning outcomes
After this course, you will be able to:
- Recognise the core components of a Bayesian model
- List the main concepts of methods for Bayesian inference
- Implement a simple Bayesian model in R
- Interpret the results of a Bayesian model
License & copyright
License: CC BY 4.0
Copyright: SIB Swiss Institute of Bioinformatics
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Attribution
This course is an original creation of Jack Kuipers.