36-724: Applied Bayesian and Computational Statistics Spring 2006 MAKEUP LECTURES: 3/22 2:30-3:30 Scaife 219 3/28 4:30-5:30 PH 125B 4/5 2:30-3:30 PH 226A 4/18 4:30-5:30 PH 226A Instructor: TA: Brian Junker, Statistics Dan Ting, Statistics 132E Baker Hall 268-8874 brian@stat.cmu.edu dting@stat.cmu.edu Office Hours: Office Hours: Right after class. (or by appointment). Texts: * Required: Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin (2003). Bayesian Data Analysis, Second Edition. New York: Chapman & Hall/CRC ISBN: 158488388X Hastie, T., Tibshirani, R., Friedman, J. (2001). The Elements of Statistical Learning. New York: Springer. ISBN 0-387-95284-5 Materials: syllabus (pdf) Some R Tutorials An introduction to S-PLus. Useful links to more information about R and Splus. Class notes and homeworks: week01 hw01 week02 week03 hw02 week04 week05 hw03 week06 week07 hw04 week08 week09 hw05 notes on rest of course. week10 week11 hw06 week12 week13 week14 hw07 week15 Stay tuned... -BJ