Spring 2017 TTh 12:30-1:45 PM OSB 0110
| Instructor: |
Dr. Debdeep Pati Assistant Professor, Department of Statistics 201D OSB, debdeep [AT] stat [DOT] fsu [DOT] edu Tu/Th 2:00-3:00 PM or by Appointment |
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| TA: |
Kumaresh Dhara Graduate Student, Department of Statistics 201G OSB, k.dhara [AT] stat [DOT] fsu [DOT] edu M/W 2:00-3:00 PM or by Appointment |
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| Syllabus: |
Syllabus |
| Date | Topics | Chapters | Supplements | Homeworks | Solutions |
| 01/10 | Review | review_s17.pdf Martingales_s17.pdf | hw0-6448-s17.pdf | hw0-6448-s17-soln.pdf | |
| 01/12 | Martingales | Martingales_s17.pdf | |||
| 01/17 | Martingales | Martingales_s17.pdf | |||
| 01/19 | Martingales | Martingales_s17.pdf | |||
| 01/24 | Martingales | Martingales_s17.pdf | |||
| 01/26 | Martingales | Martingales_s17.pdf | hw1-6448-s17.pdf | ||
| 01/31 | Empirical likelihood | empirical_likelihood_s17.pdf | |||
| 02/02 | Empirical likelihood | empirical_likelihood_s17.pdf | |||
| 02/07 | Empirical likelihood | empirical_likelihood_s17.pdf | |||
| 02/09 | Empirical likelihood | empirical_likelihood_s17.pdf | |||
| 02/14 | Empirical likelihood | empirical_likelihood_s17.pdf | |||
| 02/16 | Empirical likelihood | empirical_likelihood_s17.pdf | |||
| 02/21 | Empirical likelihood | empirical_likelihood_s17.pdf | hw2-6448-s17.pdf | ||
| 02/23 | Bayesian Inference | Bayes1_s17.pdf | |||
| 02/28 | Bayesian Inference | Bayes1_s17.pdf | |||
| 03/02 | Bayesian Inference | Bayes1_s17.pdf | |||
| 03/07 | Bayesian Inference | Bayes2_s17.pdf | |||
| 03/09 | Bayesian Inference | Bayes3_s17.pdf | hw3-6448-s17.pdf | ||
| 03/21 | Nonparametric Bayesian Inference | Bayes4_s17.pdf | |||
| 03/23 | Nonparametric Bayesian Inference | Bayes5_s17.pdf | |||
| 03/28 | Nonparametric Bayesian Inference | Bayes6_s17.pdf | |||
| 03/30 | Nonparametric Bayesian Inference | Bayes7_s17.pdf | |||
| 04/04 | Clustering | Bayes8_s17.pdf | |||
| 04/06 | Shrinkage priors | HS-BKA.pdf horseshoe.m | hw4-6448-s17.pdf | ||
| 04/11 | Conditional density modeling | psbp.pdf | |||
| 04/13 | Conditional density modeling | psbp.pdf | |||
| 04/18 | Clustering in networks | networks.pdf | |||
| 04/20 | Bayesian methods for clustering in networks | sbmBayes.pdf | |||
| 04/25 | Np Bayes for categorical data | npBayescat_s17.pdf | |||
| 04/27 | Np Bayes for categorical data | npBayescat_s17.pdf |