1 | Course Overview | |
2 | Statistical Models | |
3 | Bayesian Models | |
4 | Decision Theoretic Framework | Problem Set 1 due |
5 | Prediction | Problem Set 2 due |
6 | Sufficiency | |
7 | Exponential Families I | Problem Set 3 due |
8 | Exponential Families II | |
9 | Methods of Estimation I | Problem Set 4 due |
10 | Methods of Estimation II | |
11 | Bayes Procedures | Problem Set 5 due |
12 | Minimax Procedures | |
13 | Unbiased Estimation and Risk Inequalities | Problem Set 6 due |
14 | Convergence of Random Variables Probability Inequalities | |
15 | Limit Theorems | |
16 | Asymptotics I: Consistency and Delta Method | Take home exam 1 due |
17 | Asymptotics II: Limiting Distributions | |
18 | Asymptotics III: Bayes Inference and Large-Sample Tests | |
19 | Gaussian Linear Models | Problem Set 7 due |
20–25 | Generalized Linear Models | Problem Set 8 due & Problem Set 9 due |
26 | Case Study: Applying Generalized Linear Models | Take home exam 2 due |