Exam date: 19/3, 2-6pm. You can bring the text book and lecture notes with you.
Week | Chapter |
Contents |
Notes |
---|---|---|---|
3 |
7,10-11 |
Introduction, sufficiency, exponential families |
Lecture 1, Lecture 2 |
4 |
7,10-11 |
Point and interval estimates, Likelihood |
Lecture 3, Lecture 4 |
5 |
10-13 |
Asymptotics, Decision theory, Bayesian inference |
Lectures 5 and 6 |
6 |
8,9,21 |
Bootstrap, nonparametric |
Lecture 7, Lecture 8, Lecture 9 |
7 |
14,18,23 |
GLM, model selection |
|
8 |
review |
Lecture 11, Lecture 12, Lecture 13 |
|
9 |
25 |
Importance sampling, MCMC, EM |
Lecture on AIC and model selection, Lecture on empirical Bayes |