Mathematical Statistics

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