Chong Gu

发表

Chong Gu, 2002 .

Smoothing spline ANOVA for exponential families, with application to the Wisconsin Epidemiological Study of Diabetic Retinopathy : the 1994 Neyman Memorial Lecture

G. Wahba, R. Klein, B. Klein, 1995 .

Adaptive Spline Smoothing in Non-Gaussian Regression Models

Chong Gu, 1990 .

Soft Classiication, A. K. A. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Analysis of Variance

G. Wahba, Chong Gu, Yuedong Wang, 1993 .

Penalized likelihood regression: General formulation and efficient approximation

Chong Gu, Young-Ju Kim, 2002 .

Smoothing spline Gaussian regression: more scalable computation via efficient approximation

Chong Gu, Young-Ju Kim, 2004 .

[The ∏ Method for Estimating Multivariate Functions from Noisy Data]: Discussion

Chong Gu, 1991 .

Model diagnostics for smoothing spline ANOVA models

Chong Gu, 2004 .

Generalized Nonparametric Mixed-Effect Models: Computation and Smoothing Parameter Selection

Chong Gu, P. Ma, 2005 .

The II P method for estimating multivariate functions from noisy data

R. Tibshirani, T. Hastie, J. Friedman, 1991 .

Smoothing noisy data via regularization: statistical perspectives

Chong Gu, 2008 .

A note on generalized cross-validation with replicates

G. Wahba, Chong Gu, N. Heckman, 1992 .

Semiparametric Analysis of Variance with Tensor Product Thin Plate Splines

G. Wahba, Chong Gu, 1993 .

NONPARAMETRIC DENSITY ESTIMATION IN HIGH-DIMENSIONS

Yi Lin, Yongho Jeon, Chong Gu, 2013 .

The computation of generalized cross-validation functions through householder tridiagonalization with applications to the fitting of interaction spline models

G. Wahba, D. Bates, Chong Gu, 1989 .

Hazard Rate Estimation

Chong Gu, 2013 .

Probability Density Estimation

Chong Gu, 2013 .

Penalized Pseudo Likelihood

Chong Gu, 2013 .

Regression with Gaussian-Type Responses

Chong Gu, 2013 .

Regression with Responses from Exponential Families

Chong Gu, 2013 .

Regression with Correlated Responses

Chong Gu, 2013 .

Diagnostics for Nonparametric Regression Models with Additive Terms

Chong Gu, 1992 .

Cross-Validating Non-Gaussian Data: Generalized Approximate Cross-Validation Revisited

Dong Xiang, Chong Gu, 2001 .

Discussion: Multivariate Adaptive Regression Splines

G. Wahba, Chong Gu, 1991 .

PENALIZED LIKELIHOOD DENSITY ESTIMATION: DIRECT CROSS-VALIDATION AND SCALABLE APPROXIMATION

Chong Gu, Jingyuan Wang, 2003 .

SMOOTHING SPLINE DENSITY ESTIMATION : CONDITIONAL DISTRIBUTION

Chong Gu, 1999 .

PENALIZED LIKELIHOOD HAZARD ESTIMATION: A GENERAL PROCEDURE

Chong Gu, 1996 .

Simulation studies of smoothing parameter estimates and bayesian confidence intervals in bernoulli ss anova models

G. Wahba, Chong Gu, Yuedong Wang, 1995 .

Smoothing Spline Density Estimation: A Dimensionless Automatic Algorithm

Chong Gu, 1993 .

Smoothing Spline ANOVA with Component-Wise Bayesian “Confidence Intervals”

G. Wahba, Chong Gu, 1993 .

Smoothing spline density estimation: theory

Chong Gu, Chun-hang Qiu, 1993 .

MODEL INDEXING AND SMOOTHING PARAMETER SELECTION IN NONPARAMETRIC FUNCTION ESTIMATION

Chong Gu, 1998 .

gss : A Package for Smoothing Spline ANOVAModels

Chong Gu, 2012 .

Optimal Smoothing with Correlated Data

Chong Gu, Chong Gu, Chun Han, 2004 .

Soft Classiication, A. K. A. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Analysis of Variance

G. Wahba, Chong Gu, Yuedong Wang, 1993 .

Grace Wahba and the Wisconsin Spline School

Chong Gu, Yuedong Wang, 2022, Notices of the American Mathematical Society.

Hazard Rate Estimation

Chong Gu, 2013 .

Optimal smoothing in nonparametric mixed-effect models

Chong Gu, P. Ma, 2005, math/0507428.

Nonparametric regression with cross‐classified responses

Chong Gu, Ping Ma, Chong Gu, 2011 .

Penalized likelihood hazard estimation: Efficient approximation and Bayesian confidence intervals

Chong Gu, Pang Du, Chong Gu, 2006 .

Discussion: Polynomial Splines and their Tensor Products in Extended Linear Modeling

Chong Gu, 2007 .

What happens when bootstrapping the smoothing spline

Chong Gu, 1987 .

STRUCTURAL MULTIVARIATE FUNCTION ESTIMATION: SOME AUTOMATIC DENSITY AND HAZARD ESTIMATES

Chong Gu, 1998 .

Smoothing Spline ANOVA Models: R Package gss

Chong Gu, Chong Gu, 2014 .

Cross-Validating Non-Gaussian Data

Chong Gu, Chong Gu, 1992 .

Soft Classification, a. k. a. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Ana

Chong Gu, Grace Wahba, Yuedong Wang, 1993 .

Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation

Chong Gu, Grace Wahba, Ronald Klein, 1993, NIPS.

Nonparametric regression with ordinal responses

Chong Gu, Chong Gu, 2021, Stat.

Multidimension Smoothing with Splines

Chong Gu, Chong Gu, 1996 .

Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method

Chong Gu, Grace Wahba, G. Wahba, 1991, SIAM J. Sci. Comput..

Static and dynamic models for spike train analysis Models, model diagnostics and open-source software

Chong Gu, Christophe Pouzat, A. Chaffiol, 2008 .

Discussion: Linear Smoothers and Additive Models

Chong Gu, Grace Wahba, Zehua Chen, 1989 .