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Improved predictions penalizing both slope and curvature in additive models

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  • Aldrin, Magne

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  • Aldrin, Magne, 2006. "Improved predictions penalizing both slope and curvature in additive models," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 267-284, January.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:2:p:267-284
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    References listed on IDEAS

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    1. Marx, Brian D. & Eilers, Paul H. C., 1998. "Direct generalized additive modeling with penalized likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 28(2), pages 193-209, August.
    2. Aldrin, Magne, 1997. "Length modified ridge regression," Computational Statistics & Data Analysis, Elsevier, vol. 25(4), pages 377-398, September.
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    Cited by:

    1. Costa, M.J. & Shaw, J.E.H., 2009. "Parametrization and penalties in spline models with an application to survival analysis," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 657-670, January.
    2. Elcin Koc & Cem Iyigun, 2014. "Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach," Journal of Global Optimization, Springer, vol. 60(1), pages 79-102, September.
    3. Mahmood Zafar & Khan Salahuddin, 2009. "On the Use of K-Fold Cross-Validation to Choose Cutoff Values and Assess the Performance of Predictive Models in Stepwise Regression," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-21, July.
    4. Matthew McTeer & Robin Henderson & Quentin M. Anstee & Paolo Missier, 2024. "Handling Overlapping Asymmetric Data Sets—A Twice Penalized P-Spline Approach," Mathematics, MDPI, vol. 12(5), pages 1-33, March.
    5. Karlsson, Maria & Lindmark, Anita, 2014. "truncSP: An R Package for Estimation of Semi-Parametric Truncated Linear Regression Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i14).

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