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