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.
Stat 583 or equivalent. |
|Textbook||Gelman et al (2014) Bayesian Data Analysis (3rd edition), CRC Press.|
|Exams and Homework||
There will be 1 midterm project and a final project.|
Homework will be assigned and collected.
The final grade will be based on the following components with the weights:|
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.
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.
Feb 27: |
R codes for examples on bioassay data (here) and eight schools (here).
R codes for studying a discrete Markov chain (here).
R codes for Metropolis sampling (here) and Gibbs sampling (here) from bivariate normal distributions.
Expanded R codes for Metropolis sampling (here) and Gibbs sampling (here) from bivariate normal distributions.
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.
R codes for logit regression (here). The dataset is here.
R codes for Metropolis sampling (here) for posterior simulation in the coagulation example.
R codes for probit regression (here).