STA250
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.âI, II, III. |