| Smoothing spline ANOVA models C Gu, C Gu Springer 297, 15, 2013 | 1652 | 2013 |
| 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 | 372 | 2004 |
| 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 | 357 | 1995 |
| 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 | 279 | 1991 |
| Smoothing spline ANOVA models: R package gss C Gu Journal of Statistical Software 58, 1-25, 2014 | 238* | 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 | 193 | 1993 |
| Cross-validating non-Gaussian data C Gu Journal of Computational and Graphical Statistics 1 (2), 169-179, 1992 | 182 | 1992 |
| Smoothing spline density estimation: Theory C Gu, C Qiu The Annals of Statistics 21 (1), 217-234, 1993 | 169 | 1993 |
| 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 | 149 | 1993 |
| Adaptive spline smoothing in non-Gaussian regression models C Gu Journal of the American Statistical Association 85 (411), 801-807, 1990 | 129 | 1990 |
| 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 | 126* | 1989 |
| Penalized likelihood regression: General formulation and efficient approximation C Gu, YJ Kim Canadian Journal of Statistics 30 (4), 619-628, 2002 | 113 | 2002 |
| RKPACK and its applications: Fitting smoothing spline models C Gu University of Wisconsin, Department of Statistics, 1989 | 111 | 1989 |
| Optimal smoothing in nonparametric mixed-effect models C Gu, P Ma | 105 | 2005 |
| Smoothing spline density estimation: A dimensionless automatic algorithm C Gu Journal of the American Statistical Association 88 (422), 495-504, 1993 | 103 | 1993 |
| Penalized likelihood regression: a Bayesian analysis C Gu Statistica Sinica, 255-264, 1992 | 87 | 1992 |
| 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 | 85 | 2018 |
| Diagnostics for nonparametric regression models with additive terms C Gu Journal of the American Statistical Association 87 (420), 1051-1058, 1992 | 85 | 1992 |
| Penalized likelihood density estimation: Direct cross-validation and scalable approximation C Gu, J Wang Statistica Sinica, 811-826, 2003 | 78 | 2003 |
| 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 | 74 | 2001 |
Grace WahbaProfessor of Statistics, University of Wisconsin-Madison在 stat.wisc.edu 的电子邮件经过验证
