241016 Topics in High-Dimensional Statistics (S) (WiSe 2023/2024)
Contents, comment
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The seminar is intended for master students with a solid background in high-dimensional statistics or probability. It will take place as a block seminar towards the end of the semester.
The goal is to discuss recent topics in high-dimensional statistics and probability. Particular areas of focus include:
1) Inference in high- and infinite-dimensional statistical models
2) Nonasymptotic random matrix theory with applications to signal processing
3) Random matrix theory with applications to deep learning
4) Manifold learning and topological data analysis
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 24-M-P1 Profilierung 1 | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P1a Profilierung 1 Teil A | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P1b Profilierung 1 Teil B | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P2 Profilierung 2 | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-PWM Profilierung Wirtschaftsmathematik | Profilierungsseminar | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
E-Learning Space
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
- Registered number: 6
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- WS2023_241016@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_427778771@ekvv.uni-bielefeld.de
- Coverage:
- 6 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Tuesday, September 5, 2023
- Last update times:
- Monday, November 27, 2023
- Last update rooms:
- Monday, November 27, 2023
- Type(s) / SWS (hours per week per semester)
- S / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Mathematics
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=427778771
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Scan QR code:
- ID
- 427778771