Course Notes

Please note that files are only available to students of the University of Auckland.

• Lecture Notes Handout (pages 1-44) (pdf)
• Lecture Notes Handout (pages 45-72) (pdf)
• Lecture Notes Handout (pages 73-176) (pdf)
• Lecture Notes Handout (pages 177-196) (pdf)
• Lecture Notes Handout (pages 197-248) (pdf)
• Lecture Notes Handout (pages 249-314) (pdf)
• Lecture Notes Handout (pages 315-496) (pdf)
• Lecture Notes Handout (pages 497-560) (pdf)
• Lecture Notes Handout (pages 561-612) (pdf)
• Lecture Notes Handout (pages 613-656) (pdf)
• Lecture Notes Handout (pages 657-672) (pdf)
• References(pdf)
• Table of Contents(pdf)

R Handouts

• Brief Introduction to R (pdf)
• Datasets and Example Codes for R Exercises (studentdata.txt, studentdata.txt, binomialconf.txt)

WinBUGS Handouts

• Brief Introduction to WinBUGS (pdf)
• WinBUGS Example Code for Example in Section 3.3 (betabin1.txt,betabin2.txt,betabin3.txt)
• Running WinBUGS in Batchmode (pdf)
• DAGs and Doodles (pdf)
• Convergence Diagnostics with CODA (pdf)

WinBUGS Code

• Softdrink Example script, model, data, inits (softdrinkscript.txt,softdrinkmodel.odc,softdrinkdataw.txt,softdrinkinits.txt)

Additional Material

• List of Distributions (pdf)
• 210 Handout (pdf)
• R Reference Card (pdf)
• R-Code for Beta-Binomial Example in Section 3.3. (R)
• Bernardo's paper on Exchangeability (pdf)
• Class Exercises 1 (pdf)
• Solutions to Class Exercises 1 (pdf)
• Class Exercises 2 (pdf)
• Solutions to Class Exercises 2 (pdf)

Additional Literature

• Berger, J.O., and Wolpert, R.L. (1988): The Likelihood Principle, IMS Lecture Notes – Monograph Series, Vol 6, Hayward, CA.
• Berger, J.O. (1985): Statistical Decision Theory and Bayesian Analysis, Springer.