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447-6273-00L 2 Credits MSC , WBZ D-MATH
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Bayes Methods

Bayes-Methoden

Does not take place this semester. Special Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to . The Registrar's Office will then register you for the course.
VVZ CR n/a

Last Updated: 2026-02-05 15:47:37

Abstract

conditional probability; bayes inference (conjugate distributions, HPD-areas; linear and empirical bayes); determination of the a-posteriori distribution through simulation (MCMC with R2Winbugs); introduction to multilevel/hierarchical models.

Content

Bayes statistics is attractive, because it allows to make decisions under uncertainty where a classical frequentist statistical approach fails. The course provides an introduction into bayesian methods. It is moderately mathematically technical, but demands a flexibility of mind, which should not underestimated.

Resources

Literature

Gelman A., Carlin J.B., Stern H.S. and D.B. Rubin, Bayesian Data Analysis, Chapman and Hall, 2nd Edition, 2004. Kruschke, J.K., Doing Bayesian Data Analysis, Elsevier2011.

General Information

Language
German
Levels
MSC , WBZ
Frequency
Every two years

Examination

Type
ungraded semester performance

Course Components

Type Title Time & Place Hours
lecture with exercise Bayes-Methoden
Does not take place this semester. Blockkurs. Weitere Informationen unter
No time listed 21 h semesterly

Offered In