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University of California-Davis Course Info
Davis, California•
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Course Info
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STA 250
Topics in Applied and Computational Statistics
Resampling, nonparametric and semiparametric methods, incomplete data analysis, diagnostics, 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.
Units: 4.0
Hours: Lecture—3 hour(s); Discussion/Laboratory—1 hour(s).
Prerequisites:
STA 131A - Introduction to Probability Theory
Recommended courses:
STA 232A - Applied Statistics I