Supervised learning
A. Buja, W. Stuetzle, and Y. Shen
Loss functions for binary class probability estimation and
classification: structure and applications.
Submitted
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A. Buja and W. Stuetzle
Observations on Bagging.
Statistica Sinica, Vol. 16, No. 2,
2006, pp. 323--352.
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T. Duchamp and W. Stuetzle
Spline smoothing on
surfaces.
Journal of
Computational and Graphical Statistics, Vol. 12, No. 3, 2003, pp. 354-381.
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A. Bruce, H.Y. Gao, and W. Stuetzle
Subset-selection and
ensemble methods for wavelet denoising.
Statistica Sinica, Vol. 9, No.
1, 1999, pp. 167--182.
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S. Sardy, D.B. Percival,
A.G. Bruce, H. Gao, and W. Stuetzle
Wavelet shrinkage for unequally spaced data.
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J.H. Friedman, E.H. Grosse, and W. Stuetzle
Multidimensional additive spline approximation.
SIAM Journal on Scientific and Statistical Computing, Vol 4, 1983, pp. 291--301.
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J. H. Friedman and W. Stuetzle
Smoothing of scatterplots.
Technical Report ORION 003, Department of Statistics, Stanford University, 1982.
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J.H. Friedman and W. Stuetzle
Projection pursuit regression.
Journal of the American Statistical Association, Vol 76, 1981, pp. 817--823.
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W. Stuetzle, T. Gasser, L. Molinari, R.H. Largo, A. Prader, and P.J. Huber.
Shape-invariant modeling of human growth.
Annals of Human Biology, Vol. 7, No. 6, 1980, pp. 507--528.
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R. Largo, T. Gasser, A. Prader, W. Stuetzle, and P.J. Huber
Analysis of the adolescent growth spurt using smoothing spline functions.
Annals of Human Biology, Vol. 5, No. 5, 1978, pp. 421--434
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W.Stuetzle
Estimation and parameterization of growth curves.
Dissertation ETH 6039, submitted to the Swiss Federal Institute of
Technology for the degree of Doctor of Mathematics, 1977.
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