Fall 2016 TTh 11:00-12:15 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 |
| 08/30 | Review: Parametric Bayes | Bayes1_f16.pdf | |||
| 09/01 | Review: Parametric Bayes | Bayes1_f16.pdf conjugate-Gaussian.pdf | |||
| 09/06 | No classes | Hurricane | |||
| 09/08 | Sampling | Bayes2_f16.pdf sampling_basics.pdf | hw0-5934_f16.pdf | ||
| 09/13 | Model selection | Bayes3_f16.pdf | |||
| 09/15 | Variable selection | Bayes3_f16.pdf GM1993.pdf BCM2016.pdf | |||
| 09/20 | Dirichlet Processes | Bayes4_f16.pdf | hw1-5934_f16.pdf | ||
| 09/22 | No classes | ||||
| 09/27 | Dirichlet process | Bayes5_f16.pdf | |||
| 09/29 | Dirichlet process | Bayes6_f16.pdf | |||
| 10/04 | Dirichlet process | Bayes7_f16.pdf | hw2-5934_f16.pdf | ||
| 10/06 | Dirichlet process | Bayes8_f16.pdf | |||
| 10/11 | Slice Sampler | slice_sampler.pdf | |||
| 10/13 | Gaussian processes | GP_5934.pdf | |||
| 10/18 | Gaussian processes | GP2_5934.pdf Bayes9_f16.pdf | |||
| 10/20 | Applications of DP and HDP | Bayes9_f16.pdf Bayes10_f16.pdf | |||
| 10/25 | HDP and DDP | Bayes11_f16.pdf | |||
| 10/27 | nDP | Bayes11_f16.pdf Bayes12_f16.pdf | hw3-5934_f16.pdf | ||
| 11/01 | Stochastic order | Bayes13_f16.pdf | |||
| 11/03 | Stochastic order | Bayes13_f16.pdf | |||
| 11/08 | Shrinkage priors in high-dimensions | Bayes14_f16.pdf | |||
| 11/10 | Shrinkage priors in high-dimensions | Bayes15_f16.pdf Bayes16_f16.pdf horseshoe.m | |||
| 11/15 | Nonparametric methods for categorical data | Bayes17_f16.pdf | |||
| 11/17 | Nonparametric methods for categorical data | Bayes17_f16.pdf | |||
| 11/22 | Clustering in network models | networks.pdf | |||
| 11/29 | Factor models | factor_models.pdf | |||
| 12/1 | No class | ||||
| 12/6 | MFM-SBM | paper.pdf | |||
| 12/8 | Density deconvolution |