Data-driven selection of the spline dimension in penalized spline regression

Kauermann G, Opsomer JD (2011)
Biometrika 98(1): 225-230.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor/in
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Abstract / Bemerkung
A number of criteria exist to select the penalty in penalized spline regression, but the selection of the number of spline basis functions has received much less attention in the literature. We propose a likelihood-based criterion to select the number of basis functions in penalized spline regression. The criterion is easy to apply and we describe its theoretical and practical properties.
Stichworte
Knot selection; Mixed model; Nonparametric; regression; Maximum likelihood
Erscheinungsjahr
2011
Zeitschriftentitel
Biometrika
Band
98
Ausgabe
1
Seite(n)
225-230
ISSN
0006-3444
eISSN
1464-3510
Page URI
https://pub.uni-bielefeld.de/record/2094372

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Kauermann G, Opsomer JD. Data-driven selection of the spline dimension in penalized spline regression. Biometrika. 2011;98(1):225-230.
Kauermann, G., & Opsomer, J. D. (2011). Data-driven selection of the spline dimension in penalized spline regression. Biometrika, 98(1), 225-230. doi:10.1093/biomet/asq081
Kauermann, G., and Opsomer, J. D. (2011). Data-driven selection of the spline dimension in penalized spline regression. Biometrika 98, 225-230.
Kauermann, G., & Opsomer, J.D., 2011. Data-driven selection of the spline dimension in penalized spline regression. Biometrika, 98(1), p 225-230.
G. Kauermann and J.D. Opsomer, “Data-driven selection of the spline dimension in penalized spline regression”, Biometrika, vol. 98, 2011, pp. 225-230.
Kauermann, G., Opsomer, J.D.: Data-driven selection of the spline dimension in penalized spline regression. Biometrika. 98, 225-230 (2011).
Kauermann, Göran, and Opsomer, Jean D. “Data-driven selection of the spline dimension in penalized spline regression”. Biometrika 98.1 (2011): 225-230.