Teaching
Fall 2023
STAT 425
Statistical Methodology I
T/Th 12.30pm - 1.50pm
1310 DCL
This course is mainly focused on statistical analysis techniques using regression models. Starting from linear regression this course will cover statistical inference for regression, diagnostics and remedial measures, model building and variables selection as well as extensions to polynomial, non-parametric, ridge, and lasso regression.
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It will also discuss the principles of experimental design and introduce ANOVA models.
Fall 2023
STAT 510
Mathematical Statistics
T/Th 9.30 - 10.50am
106B EH
This course provides a graduate level foundation in fundamental mathematical statistics topics including order statistics, exponential families, sufficiency, Rao-Blackwell theorem, Cramer-Rao lower bound, point estimation, hypothesis testing and interval estimation, likelihood and Bayesian methods, and large-sample asymptotics