Supervised learning

A. Buja, W. Stuetzle, and Y. Shen
Loss functions for binary class probability estimation and classification: structure and applications.

A. Buja and W. Stuetzle
Observations on Bagging.
Statistica Sinica, Vol. 16, No. 2, 2006, pp. 323--352. 

T. Duchamp and W. Stuetzle
Spline smoothing on surfaces.
Journal of Computational and Graphical Statistics, Vol. 12, No. 3, 2003, pp. 354-381.

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.

S. Sardy, D.B. Percival, A.G. Bruce, H. Gao, and W. Stuetzle
Wavelet shrinkage for unequally spaced data

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.

J. H. Friedman and W. Stuetzle
Smoothing of scatterplots.
Technical Report ORION 003, Department of Statistics, Stanford University, 1982.

J.H. Friedman and W. Stuetzle
Projection pursuit regression.
Journal of the American Statistical Association, Vol 76, 1981, pp. 817--823.

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.

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

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.