Ker-Chau Li

Generating author description...

All published works

Action	Title	Year	Authors
+	Simplex quantile regression without crossing	2025	Tomohiro Ando Ker-Chau Li
+ PDF Chat	Honest Confidence Sets for High-Dimensional Regression by Projection and Shrinkage	2021	Kun Zhou Ker-Chau Li Qing Zhou
+	DISCRETE INDEX SET	2016	Ker-Chau Li
+	Helices in High Dimensional Regression	2011	Ker-Chau Li
+	A Bias Bound for Applying Linear Regression to a General Linear Model	2011	Ker-Chau Li Naihua Duan
+	Interactive Tree-Structured Regression via Principal Hessian Directions	2000	Ker-Chau Li Heng‐Hui Lue Chun‐Houh Chen
+ PDF Chat	Dimension reduction for censored regression data	1999	Chun‐Houh Chen Ker-Chau Li Jane-Ling Wang
+	Principal Hessian Directions Revisited: Comment	1998	Ker-Chau Li
+	Comment	1998	Ker-Chau Li
+ PDF Chat	Nonlinear confounding in high-dimensional regression	1997	Ker-Chau Li
+ PDF Chat	On almost Linearity of Low Dimensional Projections from High Dimensional Data	1993	Peter Hall Ker-Chau Li
+ PDF Chat	On Recensoring for Censored Paired Data	1993	J. Jack Lee Ker-Chau Li Robert M. Elashoff
+	Measurement Error Regression with Unknown Link: Dimension Reduction and Data Visualization	1992	Raymond J. Carroll Ker-Chau Li
+ PDF Chat	On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma	1992	Ker-Chau Li
+ PDF Chat	On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma	1992	Ker-Chau Li
+	A bias bound for applying linear regression to a general linear model	1991	Ker-Chau Li Naihua Duan
+	Slicing Regression: A Link-Free Regression Method	1991	Naihua Duan Ker-Chau Li
+	A Bias Bound for Least Squares Linear Regression	1991	Naihua Duan Ker-Chau Li
+	Characterization of invariant spaces under a symmetric real matrix and its permutations	1990	Ching‐Shui Cheng Ker-Chau Li
+ PDF Chat	Honest Confidence Regions for Nonparametric Regression	1989	Ker-Chau Li
+ PDF Chat	Regression Analysis Under Link Violation	1989	Ker-Chau Li Naihua Duan
+	Another look at adaptation on the average	1989	Ker-Chau Li Donald Ylvisaker
+ PDF Chat	Asymptotic Optimality for $C_p, C_L$, Cross-Validation and Generalized Cross-Validation: Discrete Index Set	1987	Ker-Chau Li
+	Optimality Criteria in Survey Sampling	1987	Ching‐Shui Cheng Ker-Chau Li
+	Distribution-free and link-free estimation for the sample selection model	1987	Naihua Duan Ker-Chau Li
+	Optimality criteria in survey sampling	1987	Ching‐Shui Cheng Ker-Chau Li
+ PDF Chat	Asymptotic Optimality of $C_L$ and Generalized Cross-Validation in Ridge Regression with Application to Spline Smoothing	1986	Ker-Chau Li
+ PDF Chat	From Stein's Unbiased Risk Estimates to the Method of Generalized Cross Validation	1985	Ker-Chau Li
+	The Ordinary Least Squares Estimation for the General-Link Linear Models, with Applications.	1985	Naihua Duan Ker-Chau Li
+ PDF Chat	The Data-Smoothing Aspect of Stein Estimates	1984	Ker-Chau Li Jiunn Tzon Hwang
+	The strong consistency of M-estimators in linear models	1984	Ching‐Shui Cheng Ker-Chau Li
+ PDF Chat	Regression Models with Infinitely Many Parameters: Consistency of Bounded Linear Functionals	1984	Ker-Chau Li
+ PDF Chat	Robust Regression Designs when the Design Space Consists of Finitely Many Points	1984	Ker-Chau Li
+ PDF Chat	Consistency for Cross-Validated Nearest Neighbor Estimates in Nonparametric Regression	1984	Ker-Chau Li
+ PDF Chat	Minimaxity of the Method of Regularization of Stochastic Processes	1982	Ker-Chau Li

Common Coauthors

Coauthor	Papers Together
Naihua Duan	7
Ching‐Shui Cheng	4
Chun‐Houh Chen	2
Heng‐Hui Lue	1
Jane-Ling Wang	1
J. Jack Lee	1
Jiunn Tzon Hwang	1
Tomohiro Ando	1
Peter Hall	1
Robert M. Elashoff	1
Raymond J. Carroll	1
Donald Ylvisaker	1
Qing Zhou	1
Kun Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimation of the Mean of a Multivariate Normal Distribution	1981	Charles Stein	9
+ PDF Chat	The Data-Smoothing Aspect of Stein Estimates	1984	Ker-Chau Li Jiunn Tzon Hwang	7
+	Smoothing noisy data with spline functions	1978	Peter G. Craven Grace Wahba	6
+	Slicing Regression: A Link-Free Regression Method	1991	Naihua Duan Ker-Chau Li	6
+ PDF Chat	From Stein's Unbiased Risk Estimates to the Method of Generalized Cross Validation	1985	Ker-Chau Li	6
+ PDF Chat	On almost Linearity of Low Dimensional Projections from High Dimensional Data	1993	Peter Hall Ker-Chau Li	5
+ PDF Chat	Regression Analysis Under Link Violation	1989	Ker-Chau Li Naihua Duan	5
+	Bounds for the Moments of Linear and Quadratic Forms in Independent Variables	1960	Peter Whittle	5
+ PDF Chat	An Asymptotic Theory for Sliced Inverse Regression	1992	Tailen Hsing Raymond J. Carroll	4
+ PDF Chat	Spline Smoothing and Optimal Rates of Convergence in Nonparametric Regression Models	1985	Paul L. Speckman	4
+ PDF Chat	Estimation of a Projection-Pursuit Type Regression Model	1991	Hung Chen	4
+	Cross-Validatory Choice and Assessment of Statistical Predictions	1974	M. Stone	4
+	The Predictive Sample Reuse Method with Applications	1975	Seymour Geisser	4
+	More Comments on<i>C<sub>p</sub></i>	1995	Cohn L. Mallows	4
+ PDF Chat	On Projection Pursuit Regression	1989	Peter Hall	3
+	Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in Regression	1978	Grace Wahba	3
+ PDF Chat	On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma	1992	Ker-Chau Li	3
+	How Many Variables Should Be Entered in a Regression Equation?	1983	Leo Breiman Darcy A. Freedman	3
+ PDF Chat	Investigating Smooth Multiple Regression by the Method of Average Derivatives	1989	Wolfgang Karl Härdle Thomas M. Stoker	3
+ PDF Chat	Asymptotic Optimality of $C_L$ and Generalized Cross-Validation in Ridge Regression with Application to Spline Smoothing	1986	Ker-Chau Li	3
+	Reweighting to Achieve Elliptically Contoured Covariates in Regression	1994	R. Dennis Cook Christopher J. Nachtsheim	3
+ PDF Chat	An optimal selection of regression variables	1981	Ritei Shibata	3
+	THE SELECTION OF VARIABLES IN MULTIPLE REGRESSION ANALYSIS	1970	Ronald S. Halinski Leonard S. Feldt	3
+	The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction	1974	David M. Allen	3
+ PDF Chat	Asymptotic Optimality for $C_p, C_L$, Cross-Validation and Generalized Cross-Validation: Discrete Index Set	1987	Ker-Chau Li	3
+ PDF Chat	Asymptotic Integrated Mean Square Error Using Least Squares and Bias Minimizing Splines	1980	Girdhar G. Agarwal W. J. Studden	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+ PDF Chat	On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma	1992	Ker-Chau Li	2
+	Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter	1979	Gene H. Golub Michael T. Heath Grace Wahba	2
+	Linear regression after selection	1981	Arthur S. Goldberger	2
+	On the Interpretation of Regression Plots	1994	R. Dennis Cook	2
+	Regression Diagnostics With Dynamic Graphics	1989	R. Dennis Cook Sanford Weisberg	2
+ PDF Chat	All Admissible Linear Estimates of the Mean Vector	1966	Arthur Cohen	2
+ PDF Chat	Nonlinear confounding in high-dimensional regression	1997	Ker-Chau Li	2
+	On the Interpretation of Regression Plots	1994	R. Dennis Cook	2
+ PDF Chat	Optimal Global Rates of Convergence for Nonparametric Regression	1982	Charles J. Stone	2
+	Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity	1981	Chris Beaumont D. A. Belsley E. Kuh R. E. Welsch	2
+	Estimating Optimal Transformations for Multiple Regression and Correlation	1985	Leo Breiman Jerome H. Friedman	2
+ PDF Chat	Perturbation Theory for Linear Operators	1995	Tosio Kato	2
+ PDF Chat	Honest Confidence Regions for Nonparametric Regression	1989	Ker-Chau Li	2
+ PDF Chat	Consistency for Cross-Validated Nearest Neighbor Estimates in Nonparametric Regression	1984	Ker-Chau Li	2
+ PDF Chat	Projection Pursuit Regression	1981	Jerome H. Friedman Werner Stuetzle	2
+ PDF Chat	Linear Estimation for Approximately Linear Models	1978	Jerome Sacks Donald Ylvisaker	1
+	On Estimating Regression	1964	É. A. Nadaraya	1
+ PDF Chat	Adaptive estimation of a quadratic functional by model selection	2000	Béatrice Laurent Pascal Massart	1
+	Principal Hessian Directions Revisited	1998	R. Dennis Cook	1
+	Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties	1989	Evelyn Fix J. L. Hodges	1
+	Analysis of Variance	1987	Gudmund R. Iversen Helmut Norpoth	1
+	The Ordinary Least Squares Estimation for the General-Link Linear Models, with Applications.	1985	Naihua Duan Ker-Chau Li	1
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	1