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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

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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


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

Registration form

More Info and Registration