Institut für Mathematische Stochastik
  • Aktuelles Lehrangebot

    • Vorlesungskommentar

    (Sommersemester 2026)

    Proseminar on Large Language Models and Deep Learning for Image Processing

    Proseminar Stochastik: einfache Irrfahrten

    Seminar on Random Matrices and High Dimensional Statistics

    Seminar on Asymptotic Statistics in non-Euclidean Spaces

    Seminar on Modern Advances in Statistical Optimal Transport


    Für mehr Informationen hier klicken.



    (Wintersemester 2026/2027)
    Seminar on Mathematical Statistics - Asymptotic Minimax Theory
    (winter term 2026/2027)
    Prof. Dr. Axel Munk


    Key information
    Time: 30/10/2026 – 12/02/2027, on Fridays, 10:15–11:45
    Format: in person, room 5.101 (Institute for Mathematical Stochastics)
    Possible Modules: B.Mat.4444: Seminar on mathematical statistics
    M.Mat.5440: Seminar on statistical methods for machine learning
    B.Mat.4447: Seminar on asymptotic statistical methods for data science
    M.Mat.5444: Seminar on mathematical statistics
    M.Mat.5447: Seminar on statistical foundations of data science
    Instructor: Prof. Dr. Axel Munk, Markus Zobel
    Intended Audience: Beginning to intermediate Master students
    Language: English


    For more information, please click here.




    Seminar on stochastic processes Random spatial networks
    (winter term 2026/2027)
    Prof. Dr. Christian Hirsch


    Key information
    Time: Time and room will be announced separately.
    Regular attendance is required.
    Prerequisites: Basic knowledge of probability theory is required.
    Familiarity with stochastic processes is helpful. No prior knowledge
    of stochastic geometry, point processes, percolation theory,
    or random graph theory is assumed.
    Instructor: Prof. Dr. Christian Hirsch
    Language: English


    For more information, please click here.