MATH 4780 - Regression Analysis

Starting from simple linear regression, this course provides a brief, yet complete foundation for the understanding of basic regression theory and applications that is a core of supervised learning in statistical machine learning. Topics include multiple linear regression, diagnostic analysis, multicollinearity, nonparametric regression, variable selection, generalized linear models (GLMs) and other selected topics.

The course number/name is MATH 4780/MSSC 5780 Regression Analysis, which is for senior undergraduates and graduate students.