University of South Carolina
All of my class webpages are on Blackboard: https://blackboard.sc.edu/. If you are one of my students, please check Blackboard regularly for announcements and class materials.
Graduate Courses
- STAT 714: Linear Statistical Models (Fall 2020, Fall 2021, Fall 2022)
Graduate course covering matrix algebra, estimation and inference for linear models, Gauss Markov and generalized least squares models, and shrinkage methods
[Fall ’22 Syllabus] [Fall ’22 Class Schedule] - STAT 718: High-Dimensional Data (Spring 2021, Spring 2023)
Graduate course covering supervised and unsupervised machine learning, optimization algorithms for big data, sparse statistical modeling, and deep learning
[Spring ’23 Syllabus] [Spring ’23 Class Schedule] [Some nice plots made by students in Spring ’21] - STAT 721: Stochastic Processes (Spring 2022)
Graduate course covering point processes, mathematical finance, Gaussian processes, reinforcement learning, Markov chain Monte Carlo (MCMC), and Dirichlet processes
[Spring ’22 Syllabus] [Spring ’22 Class Schedule] [Some nice plots made by students in Spring ’22]
Undergraduate Courses
- STAT 517: Advanced Statistical Models (Fall 2022)
Undergraduate course covering generalized linear models (GLMs), random effects and mixed effects models, nonparametric and semiparametric models, and machine learning methods
[Fall ’22 Syllabus] [Fall ’22 Class Schedule]
University of Florida
- STA 3024: Introduction to Statistics II (Spring 2016)
Undergraduate course covering hypothesis tests and confidence intervals (both parametric and nonparametric), one-way and two-way analysis of variance (ANOVA), simple and multiple linear regression, and categorical data analysis
[Spring ’16 Syllabus] [Spring ’16 Class Schedule]