In this program
- High-dimensional PCA
- Factor models
- Community detection in networks (intro)
- Nonparametric regression in high dimensions
- Minimax lower bounds (introduction)
Advanced topics
Minimax lower bounds (introduction)
High-dimensional statistics · Theoretical / proof-based
Topic
Minimax lower bounds (introduction)
Graduate High-dimensional statistics — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).