Office: 459 Hill Center
Email: ztan at stat.rutgers.edu
Lectures: MW 10:20-11:40AM, HIL 522
Office hours: M 1:00-1:30PM.
Office: 555 Hill Center
Office hour: W 1:00-1:30PM.
Venables and Ripley (2002), Modern Applied Statistics with S, Springer.|
Hastie, Tibshirani, and Friedman (2013), Elements of Statistical Learning, Springer.
Gelman et al (2014) Bayesian Data Analysis (3rd edition), CRC Press.
|Exams and Homework||Homework will be assigned. There will be midterm and final projects.|
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.|
HW 1 files: glm.txt.
HW 1 solution.
HW 2 solution, and a discussion about using a reduced basis matrix and an average response vector with replicated covariate values.
HW 3 solution.
Sept 18 |
Click here for demonstration of various R codes.
Click here for some R codes using splines. Click here for the LA ozone data.
Click here for R codes for smoothing splines and RKHS.
Click here for R codes for linear mixed-effect models, and here for R codes for fitting splines as mixed-effect models.
Click here and here for R codes for EM, GD, and SA algorithms for fitting Gaussian mixture models.
R codes for Gibbs sampling (here) and Metropolis sampling (here) for (toy) simulation from bivariate normal.
R codes for Gibbs sampling (here) and Metropolis sampling (here) for posterior simulation in the coagulation example (Table 11.2).