Seminar: High Dimensional Statistics
Sommersemeseter 2025
- Lecturer: Prof. Dr. Claudia Strauch
- Assistance: Timo Dörzbach and Hans Reimann
Links: MUESLI; Moodle (The Moodle page will be made accessible a couple of days prior to the first seminar.)
Description
The seminar will consist of student presentations about current research papers in the broader field of high dimensional statistics. This is not a seminar on applied statistics, but on utilizing arguments from mathematical statistics for analyzing behavior and dynamics of statistical models for large dimensions. Accordingly, some prior knowledge on mathematical statistics, e.g. Statistik 1, will be required. The seminar will be in a block format with two initial sessions, a final three day presentations session and individual consultations in between.Dates and Location
- Initial Sessions:
- 28.04.25, 11.15am (Location: INF 205, SR11)
- 05.05.25, 11.15am (Location: INF 205, SR11)
- Individual Consultations Hours
- Mandatory Consultations: TBA, about four weeks before presentations. Please get in touch via mail to set up a meeting.
- Slide Check: Please send your preliminary slides via mail until TBA, about one week before presentations.
- Final Presentations: TBA (Location: TBA)
Prerequisites
Due to its research focus, the seminar requires some prior knowledge in mathematical statistics. Accordingly, the main target group are 3rd year B.Sc. Mathematics students and students in M.Sc. Mathematics or M.Sc. Data Science with appropriate course work. Required courses:- Introduction to Probability and Statistics
- Mathematical Statistics 1
Grading:
The seminar is required to be graded. Details will be discussed in the initial seminar sessions.Registration
If you are interested, please sign up for the class in MUESLI. Additionally, please sign up for the seminar in HeiCo (as soon as it is possible; we will send a Moodle reminder).Moodle
The page on Moodle will be made accessible prior to the first seminar session. There you will find a list of research papers to choose from for your presentation. Please note, Moodle will be the main tool for communication during lecture period.Last updated 04/04/2025 by Hans Reimann.