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STATS 202B

Matrix Algebra and Optimization

University of California, Los Angeles 4 credits Statistics

Course Description

Lecture, three hours; discussion, one hour. Recommended requisite: course 202A. Survey of computational methods that are especially useful for statistical analysis, with implementations in statistical package R. Topics include matrix analysis, multivariate regression, principal component analysis, multivariate analysis, and deterministic optimization methods. S/U or letter grading.

Code
STATS 202B
Credits
4
Subject
Statistics

Programs That Include This Course

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