STATS 202B

Matrix Algebra and Optimization

Description: Lecture, three hours. 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.

Units: 4.0
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Alyson Fletcher

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Kristopher Fletcher

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Mark Handcock

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Oscar Hernan Madrid Padilla

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Jose Ramon Madrid Padilla

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George Michailidis

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