Teaching
I am teaching statistics courses in the Department of Mathematics at the University of Houston. Please feel free to reach out to me if you have any questions about my courses. Any appointments outside my office hours can be scheduled by emails.
MATH 6397 - 19739/20173: Bayesian Modeling & Inference
Semester: Spring 2024
Prerequisites: Probability
Office Hours: MW 2:30 PM - 3:45 PM or by appointment
Location: SEC 202
Recommended Textbooks:
Peter Hoff (2009). A first course in Bayesian statistical methods. Springer.
Brian J. Reich & Sujit K. Ghosh (2019). Bayesian Statistical Methods. CRC Press.
Christian P. Robert (2007). The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation. Springer (2nd Edition).
This is an introductory course on Bayesian statistics for graduate students. The course introduces the Bayesian paradigm and focus on Bayesian modeling, computation, and inference. We first convey the ideology of Bayesian statistics which is a particular approach to statistical inference that differs philosophically and operationally from the classic frequentist approach. We then define Bayesian inference and discuss its advantages. Detailed applications are illustrated using some classical models, including binomial, Poisson, univariate normal, multivariate normal model, and linear regression. We go through each step of building Bayesian hierarchical models and apply Bayes’ theorem to derive posterior distributions. To inference on posterior distributions, MCMC algorithm is introduced as a modern method of approximating posteriors.
MATH 3339 - 11977: Statistics for the Sciences
Semester: Fall 2023
Prerequisites: MATH 2414
Office Hours: TR 10:00 AM - 11:15 PM or by appointment
Location: SEC 101
Graphical and descriptive methods in statistics, probability, random variables and distributions,
sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostics,
statistical computing.
MATH 3339 - 16384: Statistics for the Sciences
Semester: Spring 2023
Prerequisites: MATH 2414
Office Hours: MWF 11:00 AM - 11:50 AM or by appointment
Location: CBB 104
Graphical and descriptive methods in statistics, probability, random variables and distributions,
sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostics,
statistical computing.
MATH 3339 - 16278: Statistics for the Sciences
Semester: Fall 2022
Prerequisites: MATH 2414
Office Hours: MWF 11:00 AM - 11:50 AM or by appointment
Location: SEC 104
Graphical and descriptive methods in statistics, probability, random variables and distributions,
sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostics,
statistical computing.
Upcoming Courses
MATH 3339 - 11870: Statistics for the Sciences
Semester: Fall 2024
Prerequisites: MATH 2414
Office Hours: TR 10:00 AM - 11:15 PM or by appointment
Location: SEC 104
Graphical and descriptive methods in statistics, probability, random variables and distributions,
sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostics, statistical computing.