Course at Basel, Switzerland: Introduction to Bayesian Statistics with R
This 2-day course will introduce participants to the core concepts of Bayesian statistics through lectures and practical exercises. The exercises will be implemented in the widely used R programming language and the Rstan library. They will enable participants to use standard Bayesian statistical tools and interpret their results.
Registration deadline: April 22, 2024 or as soon as the course is full
General information
- Time: 13 - 14 May 2024
- Registration deadline: 22 April 2024
- Location: Basel
- Fees:
- Academic: 200 CHF
- For-profit: 1000 CHF
Course material is available.
Key topics
- T-test recap
- P-values and confidence intervals
- Monte Carlo methods
- Bayesian first steps
- Bayesian t-tests (STAN + BRMS)
- Priors
- Bayesian linear regression
- Bayesian logistic regression
Prerequisites
Being at ease with R is absolutely required for this course. Basic knowledge of statistical inference is also required.
Learning Outcomes:
At the end of the course, participants should 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