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2017
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Applied Bayesian Statistics

Organizing institution
Utrecht University, Faculty of Social and Behavioural Sciences (UU)
Course code
S64
Course fee
€ 700
Level
PhD level

A 5-day course on the basics of Bayesian statistics, offering hands-on experience with OpenBUGS or R and JAGS.

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, 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.

Tags: bayesian, statistics, applied, openbugs, jags, gibbs sampling, interdisciplinary, epidemiology, psychology, sociometrics, psychometrics

Starting in 49 days!
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COURSE LEADER

dr. Noémi Schuurman

LECTURERS

Prof. dr. Herbert Hoijtink, Prof. dr. Irene Klugkist, dr. Ellen Hamaker

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.

STUDY LOAD

Five days (09.00 – 17.00 hrs.)

Students who want to obtain a grade and credit points (Epidemiology Master Students 1.5 EC, IOPS PhD students 2 EC) for this course need to attend the grading session on Friday. Certificates of attendance are available upon request.

FEE

• € 700 - Course + course materials

Tuition fees for PhD students from the Faculty of Social and Behavioural Sciences will be funded by the Graduate School of Social and Behavioural Sciences.

DISCOUNTS AND COMBINATIONS
» Overview of all available discounts

SCHOLARSHIPS

Utrecht Summer School does not offer scholarships for this course.

MORE INFORMATION

Marianne Geelhoed – ms.graduate.program@uu.nl

» Contact Utrecht Summer School

REGISTRATION

Deadline for registration: 20 February 2017