Schedule

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

08/24 - 08/28	Review of probability and Bayes' theorem
	Lab Fri. 8/28
	Reading: Berry Chapters 4 and 5
08/31 - 09/03	Bayesian inference for proportions
	Reading: GCSR, Section 2.1 - 2.5
09/09 - 09/11	Summarizing posterior distributions
	09/07 Labor Day; no class
	Lab Fri. 09/11
09/14 - 09/18	Other 1-parameter models
	Reading: GCSR Section 2.6-2.9
09/21 - 09/25	Intro to multiparameter models
	Lab Fri. 09/25
	Reading: GCSR Ch 3
09/28 - 10/02	Bayesian computing
	Midterm 1
	Reading: GCSR Ch 10 and GCSR Sections 11.1-11.6, 11.10
10/05 - 10/09	Hierarchical models
	Lab Fri. 10/09
	Reading: GCSR, Ch. 5
	selections from WinBUGS manual
10/12 - 10/16	Hierarchical models; More Bayesian computing
10/19 - 10/23	Bayesian Regression
	Reading: GCSR Ch 14
	Lab Fri. 10/23
10/26 - 10/30	Hierarchical regression models
	Midterm 2
11/02 - 11/06	Hierarchical, continued; model checking and comparison
	Project proposals due Mon. 11/02
	Lab. Fri. 11/06
	Reading: GCSR Ch. 6
11/09 - 11/13	Hypothesis testing, etc. continued
11/16 - 11/20	Special topics
	Project interim reports due Wed. 11/18
	Lab. Fri. 11/20
	Reading: Lee Ch 7
11/23 - 11/27	No class
11/30 - 12/04	Special topics; empirical Bayes methods
	Reading: Carlin and Louis, Ch. 3
12/07 - 12/11	Project presentations and review
	Projects due 12/07
	Lab Fri. 12/11
12/14	Final exam, 2:15