Enclosed, please find the syllabus for STAT 689, a unique graduate course by Professor Mary Meyer. Dr. Meyer is a master of the subject and one of the authors of the well-known package cGAM. All MS and Ph.D. students are encouraged to sign up for this class.
She will start from the fundamentals of linear models, including linear mixed-effects models (LMM) and generalized linear models (GLM), to statistical practice and techniques related to constraint estimation and inference. You should also learn optimization
techniques and nonparametric regression; all are essential knowledge that a statistics graduate should know.
Cheers,
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Jiayang Sun
Professor, Chair, and Bernard Dunn Eminent Scholar