GS01 1173 Modern Multivariate Statistics and Applications
Zhu, Hongtu. Three semester hours. Spring/biennial. Grading System: Letter Grade. Prerequisites: Consent of Instructor, Introduction to Biostatistics and Bioinformatics (GS01 1033) and knowledge of Linear Algebra
This course will provide a general overview of the current state of multivariate statistical analysis in an age of high speed computation and large datasets, mixing new algorithmic techniques for analyzing large multivariate datasets with some of the most classical multivariate techniques. The learning is integrated with examples and applications in different fields, e.g. bioinformatics, genomics, chemometrics, psychology and medical science. At the end of the course, students should be able to plan and conduct analyses on high-dimensional datasets.