This course is closely related to the Generalized Regression Models (Generalisierte Regressions/GRM) course, also taught by Prof. Dr. Kuechenhoff. This course is, however, taught in English and designed for students currently attaining their master’s degree in statistics.
We will take a closer look at generalized models, mixed models, Bayesian approaches, generalized additive models, survival analysis and error models. This is not an exhaustive list, but should provide you with a general idea of the contents of the course.
If you have questions regarding the course, contact:
Kuechenhoff, Helmut <kuechenhoff@stat.uni-muenchen.de>
Rave, Martje <martje.rave@stat.uni-muenchen.de>
| Time | Type of lesson |
Instructor | Note |
|---|---|---|---|
| Friday 12:00-14:00 |
Lecture | Prof. Dr. Helmut Kuechenhoff | Both lectures should be attended (weekly rhythm) |
| Monday 08:00-10:00 |
Lecture | Prof. Dr. Helmut Kuechenhoff | |
| Friday 14:00-16:00 |
Workshop | Wiegrebe | One work shop per week should be attended (weekly rhythm) |
| Thursday 12:00-14:00 |
Workshop | Rave | |
| Thursday 08:00-10:00 |
Tutorial | Hannah Kuempel | All tutorials should be attended (weekly rhythm) |
Enrolment key: Stat_Model_2022
- Teacher: Helmut Küchenhoff
- Teacher: Hannah Kümpel
- Teacher: Martje Rave
- Teacher: Nora Valiente Bauer
- Teacher: Simon Wiegrebe