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 |
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Syllabus: |
Syllabus |
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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 |