Institute for Mathematical Stochastics
  • Current range of courses

    • Lecture notes

    (summer term 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


    For more information click here.



    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.