General information
Examination dates Prof. Dr. Redenbach:
21st 08.2025
17th 09.2025
1st 10.2025
Examination dates Dr. Stockis:
13th 08.2025
30th 09.2025
Registration for the examination is to be conducted in person with Huixia Lin-Jablonski (Building 48, 535), with the exception of the period from 28 July to 15 August 2025, for which registration is to be conducted with Heike Sternike (Building 48, 511). It is imperative that students present their student ID cards when they register.
Below are the lectures offered by our group in the winter semester.
If you would like to write a Bachelor's or Master's thesis in Statistics, please contact Prof. Redenbach.
Lectures in the winter term 2024/25
Contents:
- Asymptotic analysis of M-estimators, especially of Maximum-Likelihood-estimators
- Bayes and Minimax-estimators
- Likelihood-ratio-tests: asymptotic analysis and examples (t-test, chi²-goodness-of-fit-test)
- Glivenko-Cantelli-theorem, Kolmogorov-Smirnov-test
- Differentiable statistic functionals and examples of applications (derivation of asymptotic results, robustness)
- Resampling methods on the basis of Bootstrap.
Contact time:
4 SWS / 60 h Lecture
2 SWS / 30 h Tutorials
Prerequisites (Contents):
The lecture "Stochastic Methods" from the Bachelor degree program in mathematics.
Frequency of occurence:
The lecture is given once per year, in the winter term.
Contents:
- Basic theory of spatial point processes (marked point processes, intensity measure,...)
- Poisson process, Poisson cluster processes
- Basic theory of random closed sets
- Germ-grain models, in particular Boolean models
- Random tessellations
Contact time:
2 SWS / 30 h Lecture
1 SWS / 15 h Tutorials
Prerequisites (Contents):
Modul „Probability Theory“.
Frequnecy of occurence:
The lecture is irregularly given.