Abstract
For regression with Gaussian responses, L( f ) + (λ/2)J( f ) reduces to the familiar penalized least squares functional. Among topics of primary interest are the selection of smoothing parameters, the computation of the estimates, the asymptotic convergence of the estimates, and various data analytical tools.
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© 2002 Springer Science+Business Media New York
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Gu, C. (2002). Regression with Gaussian-Type Responses. In: Smoothing Spline ANOVA Models. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3683-0_3
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DOI: https://doi.org/10.1007/978-1-4757-3683-0_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2966-2
Online ISBN: 978-1-4757-3683-0
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