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Robust penalized regression spline fitting with application to additive mixed modeling

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  • Thomas Lee
  • Hee-Seok Oh

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  • Thomas Lee & Hee-Seok Oh, 2007. "Robust penalized regression spline fitting with application to additive mixed modeling," Computational Statistics, Springer, vol. 22(1), pages 159-171, April.
    • Handle: RePEc:spr:compst:v:22:y:2007:i:1:p:159-171
    DOI: 10.1007/s00180-007-0031-6
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    References listed on IDEAS

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    1. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, November.
    2. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, November.
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    Cited by:

    1. Takuma Yoshida, 2016. "Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(4), pages 278-303, November.
    2. Takuma Yoshida, 2017. "Nonlinear surface regression with dimension reduction method," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(1), pages 29-50, January.
    3. Kalogridis, Ioannis & Van Aelst, Stefan, 2024. "Robust penalized spline estimation with difference penalties," Econometrics and Statistics, Elsevier, vol. 29(C), pages 169-188.
    4. Monica Pratesi & M. Ranalli & Nicola Salvati, 2009. "Nonparametric -quantile regression using penalised splines," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(3), pages 287-304.

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