Dear Stat Graduate Students, Happy New Year and welcome back to school. 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, =========================== Jiayang Sun Professor, Chair, and Bernard Dunn Eminent Scholar Department of Statistics, George Mason University Nguyen Engineering Building 4400 University Dr. Fairfax, VA 22030 703-993-9107 (Office Manager and Asst. to Chair) 703-993-4732 (Direct) ________________________________ From: Mary Meyer <[log in to unmask]> Sent: Friday, January 21, 2022 3:40 PM To: Jiayang Sun <[log in to unmask]> Subject: syllabus Hi Jiayang, attached is the syllabus. I’m planning to spend a couple of weeks doing a thorough review of linear models, to make sure everyone is starting strong. Best, Mary