Netherlands, Utrecht

Applied Bayesian Statistics

when 20 April 2020 - 24 April 2020
language English
duration 1 week
credits 1.5 EC
fee EUR 700

This 5-day course zooms in on the key concepts of Bayesian Statistics and advanced techniques for data-analysis. Topics that are covered include: density of the data, prior and posterior distribution, Gibbs sampling, the Metropolis-Hastings algorithm, the Bayes factor, the evaluation of informative hypotheses, use and elicitation of (informative) prior distributions, and data-analysis in 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 offers a flexible alternative to classical (frequentist) 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 R, JAGS, and Bain.

This 5 day course zooms in on the key concepts of Bayesian Statistics and advanced techniques for data-analysis. Topics that are covered include: density of the data, prior distribution, posterior distribution, the Bayesian p-value, Gibbs sampling, the Metropolis-Hastings algorithm, the Bayes factor, the evaluation of informative hypotheses, and using and eliciting (informative) prior distributions when estimating the parameters of, for example, correlation and growth curve models.

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

Prof. dr. Herbert Hoijtink

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 Epidemiology students and IOPS students, the other half for other participants (first-come-first-served).

Course aim

The aim of the course is to introduce the main concepts of Bayesian statistics to researchers who want to apply, develop and evaluate Bayesian statistics. 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 R and JAGS.

Fee info

EUR 700: Course + course materials (housing not provided)

Register for this course
on course website