Statistics 7560
Schedule
The following is the tentative schedule. It is subject to revision. Announcements will be made in class and on Carmen.
Week | Date | Topic |
---|---|---|
1 | 1/9 -- | Introduction; random vectors; multivariate Gaussian |
2 | 1/16 -- | Conditional multivariate Gaussian; display and summary of multivariate data; no class 1/16 |
3 | 1/23 -- | Geometry of multivariate data; Kronecker products; Gaussian inference |
4 | 1/30 -- | Gaussian inference |
5 | 2/6 -- | Principal components analysis; spectral theory |
6 | 2/13 -- | Principal components analysis |
7 | 2/20 -- | Cluster analysis and mixture models |
8 | 2/27 -- | Hierarchical clustering; Linear discriminant analysis |
9 | 3/6 -- | Linear discriminant analysis |
10 | 3/13 -- | Spring break; no class 3/13, 3/15, 3/17 |
11 | 3/20 -- | Canonical correlation analysis; exam on 3/24 |
12 | 3/27 -- | Reproducing kernel methods |
13 | 4/3 -- | Sparse covariance and inverse covariance estimation; Gaussian graphical models |
14 | 4/10 -- | Sparse PCA/LDA/CCA |
15 | 4/17 -- | Presentations |
16 | 4/23 | Presentations |