STAT 903High-Dimensional Probability
- Units
- 0.50
- Level
- Graduate
- Faculty
- Mathematics
- Subject
- Statistics
When it runs
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- S27
Ran in 1 of the last 7 terms. Winter 2027: scheduled, 1 lecture section. Spring 2027: schedule not out yet.
An introductory course in high-dimensional probability and its applications. Topics will include: the concentration of measure phenomenon, isoperimetric and functional inequalities, and asymptotic and non-asymptotic random matrix theory. Applications may include empirical processes, dimension reduction, sparse models including compressed sensing, BBP transitions and high-dimensional PCA, mean-field methods, and optimization in high-dimensions.
Prerequisites
None listed.
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Winter 2027 sections
| Section | Class | Enrolled | Meets |
|---|---|---|---|
| LEC 001 | 6444 | 0 / 40 | MW 11:30–12:50 |
Check it elsewhere for Fall 2026
- Graduate Calendar, Fall 2026The official entry
- Requirements for Fall 2026Waterloo’s requisite checker
- Schedule of Classes, Fall 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
Calendar versions
Graduate Calendar
- Fall 2025
- Winter 2026
- Spring 2026
- Fall 2026 (shown here)
- Winter 2024 and earlier in the calendar archives