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)



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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