Chong Gu
Chong Gu
Professor of Statistics, Purdue University
Verified email at stat.purdue.edu
Title
Cited by
Cited by
Year
Smoothing spline ANOVA models
C Gu, C Gu
Springer, 2013
13872013
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
3221995
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
3112004
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
2551991
Smoothing spline ANOVA with component-wise Bayesian “confidence intervals”
C Gu, G Wahba
Journal of Computational and Graphical Statistics 2 (1), 97-117, 1993
1841993
Cross-validating non-Gaussian data
C Gu
Journal of Computational and Graphical Statistics 1 (2), 169-179, 1992
1631992
Smoothing spline ANOVA models: R package gss
C Gu
Journal of Statistical Software 58 (5), 1-25, 2014
160*2014
Smoothing spline density estimation: Theory
C Gu, C Qiu
The Annals of Statistics, 217-234, 1993
1511993
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
1491993
Adaptive spline smoothing in non-Gaussian regression models
C Gu
Journal of the American Statistical Association 85 (411), 801-807, 1990
1251990
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
120*1989
RKPACK and its applications: Fitting smoothing spline models
C Gu
University of Wisconsin, Department of Statistics, 1989
1151989
Penalized likelihood regression: general formulation and efficient approximation
C Gu, YJ Kim
Canadian Journal of Statistics 30 (4), 619-628, 2002
1002002
Smoothing spline density estimation: A dimensionless automatic algorithm
C Gu
Journal of the American Statistical Association 88 (422), 495-504, 1993
931993
Optimal smoothing in nonparametric mixed-effect models
C Gu, P Ma
The Annals of Statistics 33 (3), 1357-1379, 2005
892005
Diagnostics for nonparametric regression models with additive terms
C Gu
Journal of the American Statistical Association 87 (420), 1051-1058, 1992
811992
Penalized likelihood regression: a Bayesian analysis
C Gu
Statistica Sinica, 255-264, 1992
811992
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
762018
Penalized likelihood density estimation: Direct cross-validation and scalable approximation
C Gu, J Wang
Statistica Sinica, 811-826, 2003
712003
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
652001
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