Lecturer |
Zhiqiang Tan 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. | ||||||||||
TA |
Zexi Song Office: 555 Hill Center Office hour: W 1:00-1:30PM. | ||||||||||
Textbook |
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. | ||||||||||
Topics |
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Exams and Homework | Homework will be assigned. There will be midterm and final projects. | ||||||||||
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. 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. | ||||||||||
Announcements |
Sept 18 Click here for demonstration of various R codes. Oct 2 Click here for some R codes using splines. Click here for the LA ozone data. Oct 18 Click here for R codes for smoothing splines and RKHS. Nov 15 Click here for R codes for linear mixed-effect models, and here for R codes for fitting splines as mixed-effect models. Dec 7 Click here and here for R codes for EM, GD, and SA algorithms for fitting Gaussian mixture models. Dec 11: 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). |