Dear all,
there are only 3 seats left for the Physalia online course: Bayesian Data Analysis in R, taking place from March 3–7.
This course provides a general, application-oriented introduction to Bayesian data anlysis. The course lays the foundation for "thinking like a Bayesian" by introducing explicit models of the data-generating process. It provides an overview of the basic concepts of Bayesian data analysis to the extent necessary for common applications. Using practical examples and hands-on exercises, the course works towards application-level confidence in the use of simple and generalized Bayesian regression models.
The purpose of this course is for everyone to extend their comfort zone for "applied Bayes" in some way or another, thus appealing to beginning and intermediate level prior knowledge. The course also contains interactive practice sessions during which participants can bring up their own concrete use cases and question sets.
Course website: https://www.physalia-courses.org/courses-workshops/course46/
After completing this course, the participants will:
have become familiar with the basics of Bayesian inference,
be able to fit a range of regression models with several likelihood functions,
be able fit several robust models and distributional models,
know how to select priors for their models using prior predictive checks,
know how to assess the descriptive accuracy of a model using posterior predictive checks, and
know how to express their posterior distributions as effect sizes and informative figures.
If you have any questions, feel free to reach out.
