Syllabus

This is an approximate schedule. I will update it as needed during the semester.

08/25 - 08/29	Review of probability and Bayes' theorem
	Lab Fri. 8/29
	Reading: Berry Chapters 4 and 5
09/03 - 09/08	Bayesian inference for proportions
	09/01 Labor Day; no class
	Reading: GCSR, Section 2.1 - 2.5
09/10 - 09/12	Summarizing posterior distributions
	Lab Fri. 09/12
09/15 - 09/19	Other 1-parameter models
	Reading: GCSR Section 2.6-2.9
09/22 - 09/26	Intro to multiparameter models
	Lab Fri. 09/26
	Reading: GCSR Ch 3
09/29 - 10/03	Bayesian computing
	Midterm 1
	Reading: GCSR Ch 10 and GCSR Sections 11.1-11.6, 11.10
10/06 - 10/10	Hierarchical models
	Lab Fri. 10/10
	Reading: GCSR, Ch. 5
	selections from WinBUGS manual
10/13 - 10/17	Hierarchical models; More Bayesian computing
10/20 - 10/24	Bayesian Regression
	Reading: GCSR Ch 14
	Lab Fri. 10/24
10/27 - 10/31	Hierarchical regression models
	Midterm 2
11/03 - 11/07	Hierarchical, continued; model checking and comparison
	Project proposals due Mon. 11/03
	Lab. Fri. 11/07
	Reading: GCSR Ch. 6
11/10 - 11/14	Hypothesis testing, etc. continued
11/17 - 11/21	Special topics
	Project interim reports due Wed. 11/19
	Lab. Fri. 11/21
	Reading: Lee Ch 7
11/24 - 11/28	No class
12/01 - 12/05	Special topics; empirical Bayes methods
	Reading: Carlin and Louis, Ch. 3
12/08 - 12/12	Project presentations and review
	Projects due 12/08
	Lab Fri. 12/12
12/16	Final exam, 12:00 noon