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Approximating data with weighted smoothing splines

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  • Meise, Monika
  • Davies, Paul Lyndon

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  • Meise, Monika & Davies, Paul Lyndon, 2005. "Approximating data with weighted smoothing splines," Technical Reports 2005,48, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200548
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    File URL: https://www.econstor.eu/bitstream/10419/22641/1/tr48-05.pdf
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    References listed on IDEAS

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    1. Hardle, W. & Hall, P. & Marron, J., 1990. "Regression smoothing parameters that are not far from their optimum," LIDAM Discussion Papers CORE 1990009, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    3. J. Polzehl & V. G. Spokoiny, 2000. "Adaptive weights smoothing with applications to image restoration," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 335-354.
    4. Clifford M. Hurvich & Jeffrey S. Simonoff & Chih‐Ling Tsai, 1998. "Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 271-293.
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    Cited by:

    1. Davies, P. Laurie & Meise, Monika & Mergel, D. & Mildenberger, Thoralf, 2007. "Residual based localisation and quantification of peaks in X-ray diffractograms," Technical Reports 2007,23, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Davies, P. Laurie & Kovac, Arne & Meise, Monika, 2007. "Confidence sets and non-parametric regression," Technical Reports 2007,13, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

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