Schedule

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Week	Date	Lesson	Reading	Slides	Labs	Homework
WEEK 1	Tues, Aug 26	Lecture 1: Introduction to Linear Models
	Thur, Aug 28	Lecture 2: MLEs & Projections				hw-01
	Fri, Aug 29
WEEK 2	Tues, Sept 3	Lecture 3: Rank Deficient Models
	Thur, Sept 5	Lecture 4: Best Linear Unbiased Estimation and Gauss-Markov Theorem				hw-02
	Fri, Sept 6
WEEK 3	Tues, Sept 10	Lecture 5: BLUES for Prediction and MVUE
	Thur, Sept 12	Lecture 6: Generalized Linear Squares				hw-03
	Fri, Sept 13
WEEK 4	Tues, Sept 17	Lecture 7: Sampling Distributions & Distribution Theory
	Thur, Sept 19	Lecture 8: Bayesian Estimation				hw-04
	Fri, Sept 20
WEEK 5	Tues, Sept 24	Lecture 9: Bayes and Frequentist Risk
	Thur, Sept 26	Lecture 10: James-Stein				hw-05
	Fri, Sept 28
WEEK 6	Tues, Oct 1	Lecture 11: Shrinkage Estimators and Hierarchical Bayes
	Thu, Oct 3	Lecture 12: Shrinkage/Selection and Oracle Properties				hw-06
	Fri, Oct 4
WEEK 7	Tues, Oct 8	Lecture 13: Testing Hypotheses
	Thu, Oct 10	Lecture 14: Testing Submodels				hw-07
	Fri, Oct 11	Review in Lab (see Canvas)
WEEK 8	Tue, Oct 15	NO CLASS FALL BREAK
	Thur, Oct 17	NO CLASS - Use time for review
	Fri, Oct 18	Midterm 1
WEEK 9	Tue, Oct 22	Lecture 15: Confidence Regions and Intervals
	Thur, Oct 24	Lecture 16: Intro to Bayesian Hypothesis Testing				hw-08
	Fri, Oct 25
WEEK 10	Tues, Oct 29	Lecture 17: Bayesian Model Averaging
	Thur, Oct 31	Lecture 18: BMA and Bayesian Variable Selection
	Fri, Nov 1					hw-09
Week 11	Tues, Nov 5	Lecture 19:
	Thurs, Nov 7	Lecture 20:
	Fri, Nov 8					hw-10
Week 12	Tues, Nov 12
	Thurs, Nov 14	Midterm2
	Fri, Nov 15					hw-11
Week 12	Tues, Nov 19
	Thurs, Nov 21
	Fri, Nov 22
Week 13	Tues, Nov 26					hw-12
	Thur, Nov 30	NO CLASS THANKSGIVING
Week 14		Graduate Reading Period
Finals Period	Sunt, Dec 15 9am-12pm (in classroom)