Institute for Mathematical Stochastics

 

The Institute for Mathematical Stochastics (IMS) was founded in 1918 (at the time as the Institute for Mathematical Statistics and Insurance Mathematics) by Felix Bernstein, encouraged by David Hilbert. Today, the IMS features four research groups focusing on varoius areas of probability theory and mathematical statistics with strong interactions to bio- and life sciences and the Felix-Bernstein Institute for Mathematical Statistics in the Biosciences.

In addition to a basic curriculum in probability, mathematical statistics and insurance mathematics for the Bachelor/Master Degree Programms in Mathematics and the newly founded Bachelor Degree Programme Mathematical Data Science, the IMS provides PhD training in "Mathematical Sciences" (within the GAUSS program), amongst others in the Reseach Training Group 2088 and varoius Collaborative Research Centres funded by the DFG.


News:

Assistants wanted for the winter semester 2024/25: The Institute of Mathematical Stochastics is looking for assistants for the winter term 2024/25 for the following courses:

- Fundamentals of stochastics for teacher training
- Discrete stochastics for computer science students
- Measure and probability theory
- Stochastic lab course
- Cycle
- Statistical and Computational Data Science 2

If you are interested, please click here


Next talk in the Stochastics Colloquium:
03.07.2024, 11:15, Prof. Dr. Merle Behr (Universität Regensburg)

"Provable recovery of feature interactions from Random Forest with applications to heterogeneous treatment effect estimation" (Abstract).
ICSDS 2023 travel award to Michel Groppe:

We are excited to congratulate Michel Groppe for receiving the 2023 ICSDS student travel award! Michel will present his paper on
“Lower Complexity Adaptation for Empirical Entropic Optimal Transport” in 2023 IMS International Conference on Statistics and Data Science (ICSDS) in Lisbon, Portugal where also a ceremonie will be held on this occasion.  
For details, see: https://sites.google.com/view/icsds2023/student-award
  (0) .