Lecturer |
Zhiqiang Tan Office: 459 Hill Center Email: ztan at stat.rutgers.edu Lectures: Th 6:40-9:30PM, HIL 552 Office hours: MTh 1:30-2:30PM. | ||||||||||||
Prerequisite |
Stat 583 or equivalent. | ||||||||||||
Textbook | Gelman et al (2014) Bayesian Data Analysis (3rd edition), CRC Press. | ||||||||||||
Topics |
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Exams and Homework |
There will be 1 midterm project and a final project. Homework will be assigned and collected. | ||||||||||||
Grading |
The final grade will be based on the following components with the weights:
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Makeup policy |
Make-up exams will only be given if written documentation of a major outside circumstance is provided by a dean or a doctor. Students who miss exams without presenting proper documentation in a timely manner will receive a grade of zero. | ||||||||||||
Homework Assignments |
HW 1, HW 2, HW 3, HW 4. Solution to HW 1. Solution to HW 2. Please see Canvas Files for solutions to HW 3. | ||||||||||||
Announcements |
Feb 27: R codes for examples on bioassay data (here) and eight schools (here). March 26: R codes for studying a discrete Markov chain (here). R codes for Metropolis sampling (here) and Gibbs sampling (here) from bivariate normal distributions. April 2: Expanded R codes for Metropolis sampling (here) and Gibbs sampling (here) from bivariate normal distributions. April 9: R codes for Gibbs sampling (here) for posterior simulation in the eight-school example. R codes for Gibbs sampling (here) for posterior simulation in the coagulation example. April 16: R codes for logit regression (here). The dataset is here. April 30: R codes for Metropolis sampling (here) for posterior simulation in the coagulation example. R codes for probit regression (here). |