Advanced Regression Analysis

Undergraduate credit

This regression course follows and builds upon STATS 500. It considers generalized linear models, including logistic, Poisson, and Negative-Binomial regression, adding linear and generalized linear mixed-effects models for correlated observations. Semiparametric regression is covered. Further topics include penalized spline estimation, additive models, varying coefficient models, additive mixed models, and spatial smoothing, all with emphasis on applied modeling strategies and data analysis. Bayesian and tree-based alternatives will be discussed as time permits.