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Kevin Vo

Data Enthusiast, works in R and Python

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Topics in Applied and Computational Statistics (4)

Class Code: STA250
Division: Statistics
Prerequisite: course 131A; course 232A recommended, not required.
Description: stics, multivariate and time series analysis, applied Bayesian methods, sequential analysis and quality control, categorical data analysis, spatial and image analysis, computational biology, functional data analysis, models for correlated data, learning theory. May be repeated for credit with consent of graduate advisor. Offered irregularly.—I, II, III.