Grace Wahba
Grace Wahba
Professor of Statistics, University of Wisconsin-Madison
Verified email at stat.wisc.edu - Homepage
Title
Cited by
Cited by
Year
Spline models for observational data
G Wahba
Society for industrial and applied mathematics, 1990
93961990
Multivariate adaptive regression splines
JH Friedman
The annals of statistics, 1-67, 1991
92511991
Smoothing noisy data with spline functions
P Craven, G Wahba
Numerische mathematik 31 (4), 377-403, 1978
46191978
Generalized cross-validation as a method for choosing a good ridge parameter
GH Golub, M Heath, G Wahba
Technometrics 21 (2), 215-223, 1979
43501979
Some results on Tchebycheffian spline functions
G Kimeldorf, G Wahba
Journal of mathematical analysis and applications 33 (1), 82-95, 1971
17441971
A least squares estimate of satellite attitude
G Wahba
SIAM review 7 (3), 409-409, 1965
1376*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
11141970
Practical approximate solutions to linear operator equations when the data are noisy
G Wahba
SIAM journal on numerical analysis 14 (4), 651-667, 1977
10221977
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
10072004
Bayesian “confidence intervals” for the cross‐validated smoothing spline
G Wahba
Journal of the Royal Statistical Society: Series B (Methodological) 45 (1 …, 1983
8281983
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
7771978
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
7331980
Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV
G Wahba
Advances in Kernel Methods-Support Vector Learning 6, 69-87, 1999
6511999
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
6381985
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
6121975
Support vector machines for classification in nonstandard situations
Y Lin, Y Lee, G Wahba
Machine learning 46 (1), 191-202, 2002
4972002
Spline interpolation and smoothing on the sphere
G Wahba
SIAM Journal on Scientific and Statistical Computing 2 (1), 5-16, 1981
4661981
Smoothing noisy data with spline functions
G Wahba
Numerische mathematik 24 (5), 383-393, 1975
4171975
A note on the lasso and related procedures in model selection
C Leng, Y Lin, G Wahba
Statistica Sinica, 1273-1284, 2006
3592006
Smoothing spline ANOVA for exponential families, with application to the Wisconsin Epidemiological Study of Diabetic Retinopathy: the 1994 Neyman Memorial Lecture
G Wahba, Y Wang, C Gu, R Klein, B Klein
The Annals of Statistics 23 (6), 1865-1895, 1995
3211995
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