| Date | Subject |
|---|---|
| 8-25 | Opening Theme: Flexibility vs. Stability |
| 8-30 | Penalized regression: Introduction |
| 9-1 | Ridge regression (R) (SAS) |
| 9-6 | The lasso (R) (SAS) |
| 9-8 | Simulation studies (R) (SAS) (displayProgressBar) |
| 9-13 | Classification: Introduction |
| 9-15 | Linear Discriminant Analysis I |
| 9-20 | Linear Discriminant Analysis II (R) (SAS) |
| 9-22 | Extensions to LDA and multinomial regression |
| 9-27 | Splines (R) (SAS) |
| 10-4 | Smoothing splines (R) |
| 10-6 | Generalized additive models I (R) (SAS) |
| 10-13 | Generalized additive models II (R) (SAS) |
| 10-20 | Kernels (R) |
| 10-25 | Local regression (R) |
| 10-27 | Local regression II (R) (SAS) |
| 11-1 | Kernel density estimation and classification (R) (SAS) |
| 11-3 | Regression trees (R) |
| 11-10 | Classification trees (R) |
| 11-15 | Eigenvalues and diagonalization |
| 11-17 | Principal components analysis I (R) |
| 11-29 | Principal components analysis II (R) (SAS) |
| 12-1 | Robust regression (R) (SAS) |
| 12-6 | The bootstrap (R) (SAS) (jackboot.txt) |
Some miscellaneous R functions: fun.R