Bayesian Analysis (52558), Spring 2009
Handouts
Properties of most probability distributions we will encounter
(thanks to Brani Vidakovic)
Class 2:
Note explaining the statement of De-Finetti's theorem for the 0-1 case
Class 3:
A note on the bioassay example
and
figure handout given in class
Class 4:
Figures for the Bioassay with normal approximation
Class 5:
Figures for the Rat Tumor experiment
Figures for the SAT-Verbal experiment
Figures for the Beta-blockers meta-analysis
Class 6:
Figures for MCMC sampling
Class 7-8:
Results for congulation data
Class 9:
Diagrams for Dirichlet Processes and extensions
A note by Whye Teh an the Dirichlet Process
Class 10:
Paper on the Hierarchical Dirichlet Process
DP Gaussian Clustering Code
Class 11:
Figures for Model Checking
Class 12:
Figures for Regression Models