Computationally Efficient Kalman Filter Approaches for Fitting Smoothing Splines

Smoothing spline models have shown to be effective in various fields (e.g., engineering and biomedical sciences) for understanding complex signals from noisy data. As nonparametric models, smoothing spline ANOVA (Analysis Of variance) models do not fix the structure of the regression function, leadi...

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Autores principales: Parker, Joel, Zhang, Yifan, Lafleur, Bonnie J., Sun, Xiaoxiao
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: IntechOpen 2022
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Acceso en línea:https://www.intechopen.com/chapters/83317
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