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Chong Gu
Chong Gu
Professor of Statistics, Purdue University
Dirección de correo verificada de stat.purdue.edu
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Smoothing spline ANOVA models
C Gu, C Gu
Springer 297, 15, 2013
16282013
Smoothing spline Gaussian regression: more scalable computation via efficient approximation
YJ Kim, C Gu
Journal of The Royal Statistical Society Series B: Statistical Methodology …, 2004
3692004
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
3571995
Minimizing GCV/GML scores with multiple smoothing parameters via the Newton method
C Gu, G Wahba
SIAM Journal on Scientific and Statistical Computing 12 (2), 383-398, 1991
2801991
Smoothing spline ANOVA models: R package gss
C Gu
Journal of Statistical Software 58, 1-25, 2014
228*2014
Smoothing spline ANOVA with component-wise Bayesian “confidence intervals”
C Gu, G Wahba
Journal of Computational and Graphical Statistics 2 (1), 97-117, 1993
1931993
Cross-validating non-Gaussian data
C Gu
Journal of Computational and Graphical Statistics 1 (2), 169-179, 1992
1821992
Smoothing spline density estimation: Theory
C Gu, C Qiu
The Annals of Statistics 21 (1), 217-234, 1993
1661993
Semiparametric analysis of variance with tensor product thin plate splines
C Gu, G Wahba
Journal of the Royal Statistical Society: Series B (Methodological) 55 (2 …, 1993
1481993
Adaptive spline smoothing in non-Gaussian regression models
C Gu
Journal of the American Statistical Association 85 (411), 801-807, 1990
1311990
The computation of generalized cross-validation functions through Householder tridiagonalization with applications to the fitting of interaction spline models
C Gu, DM Bates, Z Chen, G Wahba
SIAM Journal on Matrix Analysis and Applications 10 (4), 457-480, 1989
124*1989
RKPACK and its applications: Fitting smoothing spline models
C Gu
University of Wisconsin, Department of Statistics, 1989
1121989
Penalized likelihood regression: General formulation and efficient approximation
C Gu, YJ Kim
Canadian Journal of Statistics 30 (4), 619-628, 2002
1112002
Optimal smoothing in nonparametric mixed-effect models
C Gu, P Ma
1052005
Smoothing spline density estimation: A dimensionless automatic algorithm
C Gu
Journal of the American Statistical Association 88 (422), 495-504, 1993
1001993
Penalized likelihood regression: a Bayesian analysis
C Gu
Statistica Sinica, 255-264, 1992
861992
Soft classification, aka risk estimation, via penalized log likelihood and smoothing spline analysis of variance
G Wahba, C Gu, Y Wang, R Chappell
The mathematics of generalization, 331-359, 2018
852018
Diagnostics for nonparametric regression models with additive terms
C Gu
Journal of the American Statistical Association 87 (420), 1051-1058, 1992
831992
Penalized likelihood density estimation: Direct cross-validation and scalable approximation
C Gu, J Wang
Statistica Sinica, 811-826, 2003
752003
Cross-validating non-Gaussian data: generalized approximate cross-validation revisited
C Gu, D Xiang
Journal of Computational and Graphical Statistics 10 (3), 581-591, 2001
722001
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Artículos 1–20