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Department of Statistics
California State University,
East Bay
Summer 2006
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Stat 4860/6860: Introduction to Bayesian Statistical Analysis
Week 4:
- Homework 2 will be collected on Wednesday.
- This week we began working on class quizzes on developing appropriate
models for the likelihood and the discussion of conjugate priors and
reference priors.
- The quiz that was given on Monday:
quiz1.pdf
- The quiz that was given on Wednesday:
quiz2.pdf
- Please see the Homework link for the newly posted homework assignment 3.
Week 3:
- Homework 1 is due today.
- Install the library Bolstad in R. See the Handouts link for
examples using the Bolstad library.
- Today we will go to the computer lab to try R with the Bolstad library
(hopefully) and WinBUGS.
Week 2:
- Install R on your computer. See the Statistics Software link.
I have also posted links to Tinn-R and JGR.
- There is an updated Introduction to R posted under Handouts with
individual programs for each part of the handout. Run all of the
programs and make a list of things that are unclear.
- From the r-project website be
sure to take a look at the
Manuals page.
- Run the program bayes.r to check your answers to the 3 Expercises.
See the Handouts link.
- There are 3 handouts on random number generation posted, see the
Handouts link.
- On example where Bayes Theorem is applied these days is in Bayesian Spam
Filtering
- Here is a link the spam filtering in the Mozilla browser. It is
SpamBayes that they use.
spam
- Install WinBUGS14 on your computer. See the Statistics Software
Link.
- See the Handouts link for some WinBUGS examples.
- Homework 1 will be collected on Monday July 3. Well hopefully.
Week 1:
- A reading assignment has been posted on Blackboard under Course Materials.
- See the Homework link for the first assignment.
- Install the necessary software for the class. R,
WinBUGS
Week 0:
- The book for Statistics 4860 is Introduction to Bayesian Statistics by
William M Bolstad, Wiley, 2004
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Bolstad
- The book for Statistics 6860 is Bayesian Statistics and introduction by
Peter Lee, Hodder Arnold, 2004.
- Lee
Rprograms
WinBUGSprograms
- Two other references for the course:
- Bayesian Statistical Modelling by Peter Congdon, 2001.
- Bayesian Data Analysis, Second Edition, by Gelman, Carlin, Stern, and
Rubin.
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