Course Schedule

Below is our course schedule, which will almost certainly change as the course progresses. Details regarding evaluation due dates can be found below the table.

Week	Date	Session	Title	Topics	Recommended Resources	Due Dates
1	Sept 3	Lecture	Probability Review	Course Introduction	Knight Chp 1 + 2
		Lab	Probability Review
2	Sept 10	Lecture	Inequalities	Concentration inequalities; Expectation Inequalities	Wasserman Chp 4
		Lab	Normal Distribution Properties
3	Sept 17	Lecture	Convergence	Modes of Convergence; Convergence relationships	Knight Chp 3; Wasserman Chp 5	Assignment 1
		Lab	Inequalities
4	Sept 24	Lecture	Limit Theorems	LLN; Simulation	Knight Chp 3; Wasserman Chp 5
		Lab 5	Convergence
5	Oct 1	Lecture	Limit Theorems II	CLT; Delta method	Knight Chp 3; Wasserman Chp 5	Assignment 2
		Lab	Limit Theorems
6	Oct 8	Lecture	Inference	Statistical Models and Inference; Parametric and nonparmetric models; Goals of inference; Inferential frameworks	Knight Chp 4; Davison Chp 1
		Lab	Inference
7	Oct 15	Lecture	Midterm Review			Assignment 3
		Lab	Midterm Review
8	Oct 22	Lecture	Midterm Exam
		Lab	No Lab
9	Oct 29	Lecture	READING WEEK
		Lab	READING WEEK
10	Nov 5	Lecture	Nonparametric Estimation	Statistical functionals; Substitution Principle; Bootstrap	Knight Chp 4; Davison Chps 1 and 2
		Lab	No Lab
11	Nov 12	Lecture	Likelihoood I	Likelihood function; Likelihood principle; Asymptotic theory	Knight Chp 5; Davison Chp 4
		Lab	Likelihood
12	Nov 19	Lecture	Likelihood II	Misspecified Models; Numerical computation of MLEs		Assignment 4
		Lab	Final Project Working Session
13	Nov 26	Lecture 13	Presentations	Final Project Presentations		Assignment 5 (Due Dec 6)
		Lab 13	No Lab

Evaluation Details

Assignments are to be submitted via Quercus. The deadline for submission is always 9:00am EST on the due date (1 hour before class starts).