Jisu Kim (jisuk1 at andrew dot cmu edu) Robert Lunde (rlunde at andrew dot cmu dot edu) Sonia Todorova (sktodoro at andrew dot cmu dot edu) RT: Wednesdays 3-4pm, Baker 229B RL: Thursdays 3:30-4:30pm, Porter 117 ST: Mondays 3:30-4:30pm, Porter A20 |
Tues Jan 14 | 1. Introduction and regression | |
Thurs Jan 16 | 2. Introduction and regression (cont'd) | |
Tues Jan 21 | 3. The truth about linear regression | |
Thurs Jan 23 | 4. Error and validation | Homework 1 due |
Tues Jan 28 | 5. Error and validation (cont'd) | |
Thurs Jan 30 | 6. Kernel regression | |
Tues Feb 4 | 7. The bootstrap | Homework 2 due |
Thurs Feb 6 | 8. The boostrap (cont'd) | |
Tues Feb 11 | 9. Degrees of freedom | |
Thurs Feb 13 | 10. Degrees of freedom (cont'd) | Homework 3 due |
Tues Feb 18 | 11. Smoothing splines | |
Thurs Feb 20 | 12. Smoothing splines | |
Tues Feb 25 | 13. Additive models | Homework 4 due |
Thurs Feb 27 | 14. Catch up / review | Take-home exam out |
Tues Mar 4 | 15. Inference with linear smoothers | |
Thurs Mar 6 | 16. Inference with linear smoothers (cont'd) | Take-home exam due |
Tues Mar 11 | (Spring break, no class) | |
Thurs Mar 13 | (Spring break, no class) | |
Tues Mar 18 | 17. Logistic regression | |
Thurs Mar 20 | 18. Generalized linear models | Homework 5 due |
Tues Mar 25 | 19. Generalized linear models (cont'd) | |
Thurs Mar 27 | 20. Principal components analysis | |
Tues Apr 1 | 21. Principal components analysis (cont'd) | Homework 6 due |
Thurs Apr 3 | 22. Other dimension reduction techniques | |
Tues Apr 8 | 23. In-class exam | Homework 7 due; in-class exam |
Thurs Apr 10 | (Spring carnival, no class) | |
Tues Apr 15 | 24. Clustering | |
Thurs Apr 17 | 25. Clustering (cont'd) | |
Tues Apr 22 | 26. Clustering (cont'd) | Homework 8 due |
Thurs Apr 24 | 27. High-dimensional statistics | |
Tues Apr 29 | 28. High-dimensional statistics (cont'd) | |
Thurs May 1 | 29. High-dimensional statistics (cont'd) | Homework 9 due; take-home final out |
Thurs May 8 | Take-home final due |