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Nonlinear functional models for functional responses in reproducing kernel hilbert spaces

✍ Scribed by Heng Lian

Publisher: John Wiley and Sons
Year: 2007
Tongue: French
Weight: 667 KB
Volume: 35
Category: Article
ISSN: 0319-5724
DOI: 10.1002/cjs.5550350410

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✦ Synopsis

Abstract

The author proposes an extension of reproducing kernel Hilbert space theory which provides a new framework for analyzing functional responses with regression models. The approach only presumes a general nonlinear regression structure, as opposed to existing linear regression models. The author proposes generalized cross‐validation for automatic smoothing parameter estimation. He illustrates the use of the new estimator both on real and simulated data.

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