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