Bootstrapping for Penalized Spline Regression

Kauermann G, Claeskens G, Opsomer JD (2009)
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 18(1): 126-146.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor/in
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Abstract / Bemerkung
We describe and contrast several different bootstrap procedures for penalized spline smoothers. The bootstrap methods considered are variations on existing methods, developed under two different probabilistic frameworks. Under the first framework, penalized spline regression is considered as an estimation technique to find an unknown smooth function. The smooth function is represented in a high-dimensional spline basis, with spline coefficients estimated in a penalized form. Under the second framework, the unknown function is treated as a realization of a set of random spline coefficients, which are then predicted in a linear mixed model. We describe how bootstrap methods can be implemented under both frameworks, and we show theoretically and through simulations and examples that bootstrapping provides valid inference in both cases. We compare the inference obtained under both frameworks, and conclude that the latter generally produces better results than the former. The bootstrap ideas are extended to hypothesis testing, where parametric components in a model are tested against nonparametric alternatives. Datasets and computer code are available in the online supplements.
Stichworte
Mixed model; Nonparametric; regression; Resampling; Nonparametric hypothesis testing
Erscheinungsjahr
2009
Zeitschriftentitel
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
Band
18
Ausgabe
1
Seite(n)
126-146
ISSN
1061-8600
eISSN
1537-2715
Page URI
https://pub.uni-bielefeld.de/record/1591400

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Kauermann G, Claeskens G, Opsomer JD. Bootstrapping for Penalized Spline Regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 2009;18(1):126-146.
Kauermann, G., Claeskens, G., & Opsomer, J. D. (2009). Bootstrapping for Penalized Spline Regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 18(1), 126-146. doi:10.1198/jcgs.2009.0008
Kauermann, G., Claeskens, G., and Opsomer, J. D. (2009). Bootstrapping for Penalized Spline Regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 18, 126-146.
Kauermann, G., Claeskens, G., & Opsomer, J.D., 2009. Bootstrapping for Penalized Spline Regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 18(1), p 126-146.
G. Kauermann, G. Claeskens, and J.D. Opsomer, “Bootstrapping for Penalized Spline Regression”, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, vol. 18, 2009, pp. 126-146.
Kauermann, G., Claeskens, G., Opsomer, J.D.: Bootstrapping for Penalized Spline Regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 18, 126-146 (2009).
Kauermann, Göran, Claeskens, Gerda, and Opsomer, J. D. “Bootstrapping for Penalized Spline Regression”. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 18.1 (2009): 126-146.