| WEEK | DATES | INFO | TOPICS | CHAP/SEC | SLIDES/
HANDOUTS |
|
| 1 | TU 04/04 TH 04/06 |
Introduction. Multiparameter Models. Large sample inference. |
Chapters: 3,4 |
c1.pdf |
||
| 2 | TU 04/11 TH 04/13 |
Hierarchical Models. Model Checking. |
Chapters:5,6 | c2.4.pdf, c2.pdf c3.pdf |
||
| 3 | TU 04/18 TH 04/20 |
Model Comparison. Posterior Simulation |
Chapter: 5 Chapters: 10, 11 |
c4.pdf, |
||
| 4 | TU 04/25 TH 04/27 |
Posterior Simulation. Approximations to the posterior distribution. The EM algorithm. |
Chapters: 11, 12 |
c5.pdf, |
||
| 5 | TU 05/02 TH 05/04 |
QUIZ#1 |
The EM algorithm. QUIZ #1 (20%) |
Chapters: 12,13 |
|
|
| 6 | TU 05/09 TH 05/11 |
Regression Models. Hierarchical Linear Models. |
Chapters: 14, 15 |
c6.pdf | ||
| 7 | TU 05/16 TH 05/18 |
Hierarchical Linear
Models. Generalized Linear Models. |
Chapters: 15, 16 |
c7.pdf | ||
| 8 |
TU 05/23 TH 05/25 |
Models for
Robust Inference. Mixture Models. Nonlinear Models. Models for missing data. |
Chapters: 17, 7, 21 |
c8.pdf | ||
| 9 | TU 05/30 TH 06/01 |
EXAM |
EXAM (30%) Reading Week. |
|||
| 10 | TU 06/06 TH 06/08 |
Reading Week. Reading Week. |
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