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Dec 26, 2024
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BZAN 646 - Modern Multivariate Techniques3 Credit Hours
An overview of Random Vectors and Matrices, Matrix Norms, Eigen-analysis and condition numbers. Multivariate normal distribution, Advances in Principal Component Analysis, Advances in Partial Least Squares, Factor Analysis, Canonical Correlation Analysis, Discriminant Analysis and Cluster Analysis, Sliced Inverse Regression and related methods.
(RE) Prerequisite(s): 552.
Recommended Background: two undergraduate courses in Calculus and Matrix Algebra.
Comment(s): Or permission of instructor.
Registration Restriction(s): Minimum student level – graduate.
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