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STA 5172 STA 5934: Nonparametric Bayes Methods
Fall 2014 TTh 2:00-3:15 PM OSB 0215

Instructor: Dr. Debdeep Pati
Assistant Professor, Department of Statistics
201D OSB, debdeep [AT] stat [DOT] fsu [DOT] edu
T/Th 3:15-4:15 PM or by Appointment

Syllabus: Syllabus
Course Outline: Course Outline
Date Topics Chapters Supplements Homeworks Solutions
08/26 Review: Parametric Bayes Bayes1.pdf
08/28 Review: Parametric Bayes Bayes2.pdf
09/02 Model selection Bayes3.pdf hw1-5934.pdf
09/04 Dirichlet process Bayes4.pdf
09/09 Dirichlet process Bayes5.pdf
09/11 Finite mixture models Bayes6.pdf
09/16 Dirichlet process mixtures Bayes7.pdf hw2-5934.pdf
09/18 Slice sampler and collapsed Gibbs slice_sampler.pdf
09/23 Collapsed Gibbs, Label switching and clustering Bayes8.pdf
09/25 Gaussian process Bayes9.pdf hw3-5934.pdf
09/30 Gaussian process Bayes10.pdf
10/02 GP computation for large datasets and classification Bayes11.pdf
10/07 Applications of DP Bayes12.pdf
10/09 Hierarchical Dirichlet processes Bayes13.pdf hw4-5934.pdf
10/14 DDP Bayes14.pdf
10/16 Alternatives to DP Bayes15.pdf
10/21 Restricted DDP Bayes16.pdf
10/23 Restricted DDP Bayes17.pdf
10/28 Shrinkage priors in high dimensions Bayes18.pdf
10/30 Shrinkage priors in high dimensions Bayes19.pdf hw5-5934.pdf
11/04 Shrinkage priors in high dimensions Bayes20.pdf
11/06 Bayesian sparse factor models Bayes21.pdf
11/13 Bayesian density deconvolution
11/18 Categorical data models Bayes22.pdf
11/25 Categorical data models Bayes23.pdf