Netherlands, Utrecht

Applied Bayesian Statistics

when 1 April 2019 - 15 April 2019
language English
duration 2 weeks
fee EUR 600

This 4-day course zooms in on the key concepts of Bayesian Statistics and advanced techniques for data-analysis. Topics that are covered include: Bayes’ theorem, Gibbs sampling, the Metropolis-Hastings algorithm, the Bayes factor, the evaluation of informative hypotheses, Bayesian methods for linear regression, moderation, and mediation, and data-analysis in OpenBUGS or R and JAGS.
The course is aimed at researchers who not only work with statistical tools, but are also interested in the development and evaluation of statistical tools.


Bayesian statistics offer flexible techniques for researchers who cannot properly analyze their data using methods based on classical statistics. This course will provide a sound basis in Bayesian statistics for those who want to:
• understand what Bayesian statistics is about;
• use Bayesian statistics to build and evaluate statistical models;
• get hands on experience with Bayesian statistics in Openbugs, R, JAGS, and Bain.
This 4 day course zooms in on the key concepts of Bayesian Statistics and advanced techniques for data-analysis. Topics that are covered include: Bayes’ theorem, Gibbs sampling, the Metropolis-Hastings algorithm, the Bayes factor, the evaluation of informative hypotheses, Bayesian methods for linear regression, moderation, and mediation, and data-analysis in OpenBUGS or R and JAGS. 
The course is aimed at researchers who not only work with statistical tools, but are also interested in the development and evaluation of statistical tools. Among these are psychometricians, sociometricians, epidemiologists, and statisticians. The only requirement is familiarity with the following concepts: the likelihood function, the p-value, analysis of variance, and multiple regression.

Course leader

dr. Milica Miočević

Target group

The course is aimed at researchers who not only work with statistical tools, but are also interested in the development and evaluation of statistical tools. Among these are psychometricians, sociometricians, epidemiologists and statisticians. The only requirement is familiarity with the following concepts: the likelihood function, the p-value, analysis of variance, and multiple regression.

The maximum number of participants for this course is 40. About half of these places are reserved specifically for UU MSc Epidemiology students and IOPS students, the other half for other participants.

Course aim

Introduce the main concepts of Bayesian statistics to researchers who want to use Bayesian techniques in practice.

To provide a sound basis in Bayesian statistics for those who
• Want to understand what Bayesian statistics is about
• Want to use Bayesian statistics to build and evaluate statistical models
• Want to get hands on experience with Bayesian statistics in Bain, and OpenBUGS or R & JAGS.

Fee info

EUR 600: Course fee

Register for this course
on course website