Grace Wahba
Grace Wahba
Professor of Statistics, University of Wisconsin-Madison
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Citeras av
Spline models for observational data
G Wahba
Society for industrial and applied mathematics, 1990
Multivariate adaptive regression splines
JH Friedman
The annals of statistics, 1-67, 1991
Smoothing noisy data with spline functions
P Craven, G Wahba
Numerische mathematik 31 (4), 377-403, 1978
Generalized cross-validation as a method for choosing a good ridge parameter
GH Golub, M Heath, G Wahba
Technometrics 21 (2), 215-223, 1979
Some results on Tchebycheffian spline functions
G Kimeldorf, G Wahba
Journal of mathematical analysis and applications 33 (1), 82-95, 1971
Smoothing spline ANOVA models
C Gu
Springer Science & Business Media, 2013
A least squares estimate of satellite attitude
G Wahba
SIAM review 7 (3), 409-409, 1965
A correspondence between Bayesian estimation on stochastic processes and smoothing by splines
GS Kimeldorf, G Wahba
The Annals of Mathematical Statistics 41 (2), 495-502, 1970
Practical approximate solutions to linear operator equations when the data are noisy
G Wahba
SIAM Journal on Numerical Analysis 14 (4), 651-667, 1977
Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data
Y Lee, Y Lin, G Wahba
Journal of the American Statistical Association 99 (465), 67-81, 2004
Neural networks and related methods for classification
BD Ripley
Journal of the Royal Statistical Society: Series B (Methodological) 56 (3 …, 1994
Smooth pycnophylactic interpolation for geographical regions
WR Tobler
Journal of the American Statistical Association 74 (367), 519-530, 1979
Bayesian “confidence intervals” for the cross‐validated smoothing spline
G Wahba
Journal of the Royal Statistical Society: Series B (Methodological) 45 (1 …, 1983
Improper priors, spline smoothing and the problem of guarding against model errors in regression
G Wahba
Journal of the Royal Statistical Society: Series B (Methodological) 40 (3 …, 1978
Some new mathematical methods for variational objective analysis using splines and cross validation
G Wahba, J Wendelberger
Monthly weather review 108 (8), 1122-1143, 1980
Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV
G Wahba
Advances in Kernel Methods-Support Vector Learning 6, 69-87, 1999
A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
G Wahba
The Annals of Statistics, 1378-1402, 1985
A completely automatic french curve: fitting spline functions by cross validation
G Wahba, S Wold
Communications in Statistics-Theory and Methods 4 (1), 1-17, 1975
Support vector machines for classification in nonstandard situations
Y Lin, Y Lee, G Wahba
Machine learning 46 (1-3), 191-202, 2002
Spline interpolation and smoothing on the sphere
G Wahba
SIAM Journal on Scientific and Statistical Computing 2 (1), 5-16, 1981
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