PSTAT 228
Spline Smoothing and Applications
University of California Santa Barbara · UGRD · Fall 2026
1 section
Catalog 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.
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001
Availability not recently verifiedClass #california_santa_barbara-9480Fall 2026UGRD
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