PSTAT228
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PSTAT 228 - Spline Smoothing and Applications
Full Course Title
Spline Smoothing and Applications
Instructor Name(s)
STAFF
Course Description
Model building, multivariate function estimation and supervised learning using reproducing kernel Hilbert space, regularization and splines. Smoothing splines for Gaussian and non-Gaussian data. Bayesian models and data-driven turning parameter selection. Emphasis on methodology, computation and application.
Unit Value
4
Maximum number of times course can be repeated for additional credit
99
Maximum Units
99