Calendar

SES # TOPICS KEY DATES
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