
Department of Statistics and Biostatistics
California State University,
East Bay
Spring 2011


Stat 6550: Bayesian Statistics
Week 10:
 The Midterm will be collected in class on Wednesday.
 This week Bayesian GLMs. Bayesian Logisitic
Regression.

Prediction Limits
Week 9:
 This week Bayesian multiple regression and stepwise
regression.
Week 8:
 Homework 2 is due Monday.
 On Monday we will go over the first part of Chapter 5 on
Regression.
 On Wednesday we will go over the second part of Chapter 5 on
ANOVA.
Week 7:
 Takehome midterm will be passed out this week.
Midterm.docx
 Homework 2 will be collected Monday May 16.
Week 6:
 Discussion of Bayesian Analysis of Diagnostic Testing.
 Discussion of MetropolisHastings Algorithm.
Week 5:
 Homework 2 has been posted.
 Handouts page has been updated.
Week 4:
 This week we will focus on introducing OpenBUGS.
 Homework 2 will be posted this week.
 On Monday I will answer any remaining questions about
Homework 1 and it will be collected on Wed.
Week 3:
 Here is the
errata page for the book.
 Here is the link to the website for the book.
Ioannis The bottom of this webpage contains all of
the code used in the book.
 The Handouts page has been updated.
The Bolstad R programs have been updated and I have posted a program to do
Bayesian linear regression using one of Bolstad's program.
Week 2:
 The website has been updated to reflect that only the graduate version
of the course is being offered.
 See the Homework link for the first assignment.
 Install the necessary software for the class. R,
OpenBUGS
Week 1:
 See the Homework link for the first assignment.
 Please note that Blackboard will be used to post solutions to hw,
quizzes, and exams, and to record grades. All other support materials
for the class will be posted here.
Week 0:
 The book for Statistics 4870 is Introduction to Bayesian Statistics by
William M Bolstad, Wiley, 2007
 The book for Statistics 6550 is Bayesian Modeling Using WinBUGS by
Ioannis Ntzoufras, Wiley, 2009.
 Three other references for the course:
 Bayesian Statistics an Introduction by Peter Lee, 2004.
 Bayesian Statistical Modelling by Peter Congdon, 2001.
 Bayesian Data Analysis, Second Edition by Gelman, Carlin, Stern, and
Rubin.
 Bayesian Ideas and Data Analysis: An Introduction for Scientists and
Statisticians.
 Probability Simulation and the Gibb Sampler
