Netherlands, Utrecht

Applied Bayesian Statistics

when 30 April 2018 - 4 May 2018
language English
duration 1 week
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: 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 or R and JAGS.
This 5-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.
Note: Participants need to bring a laptop computer to the course, with OpenBugs [http://www.openbugs.net], or alternatively with R ((https://www.r-project.org/) installed and JAGS installed (https://sourceforge.net/projects/mcmc-jags/files/JAGS/4.x/). This latter option is recommended especially for Mac users.

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 OpenBUGS or R and JAGS.

Credits info

Certificate of Attendance

Fee info

EUR 700: Course + course materials

Scholarships

Utrecht Summer School does not offer scholarships for this course.

Register for this course
on course website