Yingcun Xia

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All published works

Action	Title	Year	Authors
+	Ensemble projection pursuit for general nonparametric regression	2025	Haoran Zhan Mingke Zhang Yingcun Xia
+ PDF Chat	A General Framework of the Consistency for Large Neural Networks	2024	Haoran Zhan Yingcun Xia
+ PDF Chat	Non-asymptotic Properties of Generalized Mondrian Forests in Statistical Learning	2024	Haoran Zhan Jingli Wang Yingcun Xia
+	A dynamic count process	2024	Namhyun Kim Pipat Wongsaart Yingcun Xia
+	Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures	2024	Chenlei Leng Degui Li Han Lin Shang Yingcun Xia
+ PDF Chat	Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures	2024	Chenlei Leng Degui Li Han Lin Shang Yingcun Xia
+	Dimension Reduction and MARS	2023	Degui Li Yu Liu Yingcun Xia
+	Nonparametric regression with right‐censored covariate via conditional density function	2022	Hui Jiang Lei Huang Yingcun Xia
+	Ensemble Projection Pursuit for General Nonparametric Regression	2022	Haoran Zhan Mingke Zhang Yingcun Xia
+	Consistency of Oblique Decision Tree and its Boosting and Random Forest	2022	Haoran Zhan Yu Liu Yingcun Xia
+ PDF Chat	An Outer-Product-of-Gradient Approach to Dimension Reduction and its Application to Classification in High Dimensional Space	2021	Zhibo Cai Yingcun Xia Weiqiang Hang
+	A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data	2020	Efang Kong Lengyang Wang Yingcun Xia Jin Liu
+	Advance of the sufficient dimension reduction	2020	Weiqiang Hang Yingcun Xia
+	Accounting for correlated horizontal pleiotropy in two-sample Mendelian randomization using correlated instrumental variants	2020	Qing Cheng Baoluo Sun Yingcun Xia Jin Liu
+	Quantile based dimension reduction in censored regression	2019	Mei Yan Efang Kong Yingcun Xia
+	Double Cross Validation for the Number of Factors in Approximate Factor Models	2019	Xianli Zeng Yingcun Xia Linjun Zhang
+ PDF Chat	Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening	2018	Efang Kong Yingcun Xia Wei Zhong
+	Asymptotic Distribution for Regression in A Symmetric Periodic Gaussian Kernel Hilbert Space	2017	Xianli Zeng Yingcun Xia
+	On the Efficiency of Online Approach to Nonparametric Smoothing of Big Data	2017	Efang Kong Yingcun Xia
+	Estimation of semivarying coefficient time series models with ARMA errors	2016	Lei Huang Yingcun Xia Qin Xu
+ PDF Chat	UNIFORM BAHADUR REPRESENTATION FOR NONPARAMETRIC CENSORED QUANTILE REGRESSION: A REDISTRIBUTION-OF-MASS APPROACH	2016	Efang Kong Yingcun Xia
+	New Semiparametric Estimation Procedure for Functional Coefficient Longitudinal Data Models	2015	Jia Chen Degui Li Yingcun Xia
+	Estimation in generalised varying-coefficient models with unspecified link functions	2015	Wenyang Zhang Degui Li Yingcun Xia
+ PDF Chat	New Semiparametric Estimation Procedure for Functional Coefficient Longitudinal Data Models	2015	Jia Chen Degui Li Yingcun Xia
+	Whittle Likelihood Estimation of Nonlinear Autoregressive Models With Moving Average Residuals	2014	Tianhao Wang Yingcun Xia
+	An adaptive composite quantile approach to dimension reduction	2014	Efang Kong Yingcun Xia
+	A Piecewise Single-Index Model for Dimension Reduction	2013	Tianhao Wang Yingcun Xia
+	Most informative component analysis	2013	Jing Ya-ping Yingcun Xia
+	Comment on: “Local quantile regression” by Spokoiny, Wang, and Härdle	2013	Yingcun Xia
+	Simple tiered classifiers	2013	P. Hall Yingcun Xia Jie Xue
+ PDF Chat	GLOBAL BAHADUR REPRESENTATION FOR NONPARAMETRIC CENSORED REGRESSION QUANTILES AND ITS APPLICATIONS	2013	Efang Kong Oliver Linton Yingcun Xia
+	On a Principal Varying Coefficient Model	2012	Qian Jiang Hansheng Wang Yingcun Xia Guohua Jiang
+	A SINGLE-INDEX QUANTILE REGRESSION MODEL AND ITS ESTIMATION	2012	Efang Kong Yingcun Xia
+	Twicing local linear kernel regression smoothers	2012	Wenzhuan Zhang Yingcun Xia
+	Global Bahadur representation for nonparametric censored regression quantiles and its applications	2011	Efang Kong Yingcun Xia Oliver B. Linton
+	Adaptive semi-varying coefficient model selection	2011	Tao Hu Yingcun Xia
+ PDF Chat	Feature Matching in Time Series Modeling	2011	Yingcun Xia Howell Tong
+ PDF Chat	Rejoinder	2011	Yingcun Xia Howell Tong
+ PDF Chat	Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator	2011	Yingcun Xia Wolfgang Karl Härdle Oliver Linton
+ PDF Chat	Global Bahadur Representation for Nonparametric Censored Regression Quantiles and its Applications	2011	Oliver B. Linton Efang Kong Yingcun Xia
+	Semiparametric Regression Models	2011	Yingcun Xia
+ PDF Chat	Threshold variable selection via a $L_1$ penalty approach	2011	Qian Jiang Yingcun Xia
+	STATISTICAL MODELLING OF NONLINEAR LONG-TERM CUMULATIVE EFFECTS	2010	Efang Kong Howell Tong Yingcun Xia
+ PDF Chat	UNIFORM BAHADUR REPRESENTATION FOR LOCAL POLYNOMIAL ESTIMATES OF M-REGRESSION AND ITS APPLICATION TO THE ADDITIVE MODEL	2010	Efang Kong Oliver Linton Yingcun Xia
+	Dimension Reduction and Semiparametric Estimation of Survival Models	2010	Yingcun Xia Dixin Zhang Jinfeng Xu
+ PDF Chat	A note on the backfitting estimation of additive models	2009	Yingcun Xia
+	An Adaptive Estimation Method for Semiparametric Models and Dimension Reduction	2009	Chenlei Leng Yingcun Xia Jinfeng Xu
+	Optimal Smoothing for a Computationallyand StatisticallyEfficient Single Index Estimator	2009	Wolfgang Karl Härdle Oliver Linton Yingcun Xia
+	Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator	2009	Wolfgang Karl Härdle Oliver B. Linton Yingcun Xia
+	Shrinkage Estimation of the Varying Coefficient Model	2009	Hansheng Wang Yingcun Xia
+	Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data	2009	Jialiang Li Yingcun Xia Mari Palta Anoop Shankar
+	Model checking in regression via dimension reduction	2009	Yingcun Xia
+	A Note on The Backfitting Estimation of Additive Models	2009	Yingcun Xia
+	Uniform Bahadur Representation for LocalPolynomial Estimates of M-Regressionand Its Application to The Additive Model	2009	Efang Kong Oliver Linton Yingcun Xia
+	Optimal Smoothing for a Computationallyand StatisticallyEfficient Single Index Estimator	2009	Wolfgang Karl Härdle Oliver Linton Yingcun Xia
+	Uniform Bahadur Representation for Local Polynomial Estimates of M-Regression and its Application to the Additive Model	2009	Efang Kong Oliver B. Linton Yingcun Xia
+	Optimal smoothing for a computationally and statistically efficient single index estimator	2009	Wolfgang Karl Härdle Yingcun Xia Oliver Linton
+	A Multiple-Index Model and Dimension Reduction	2008	Yingcun Xia
+	Mathematical Understanding of Infectious Disease Dynamics	2008	Stefan Ma Yingcun Xia
+	Sliced Regression for Dimension Reduction	2008	Hansheng Wang Yingcun Xia
+ PDF Chat	A Semiparametric Approach to Canonical Analysis	2008	Yingcun Xia
+ PDF Chat	Measles on the Edge: Coastal Heterogeneities and Infection Dynamics	2008	Nita Bharti Yingcun Xia Ottar N. Bjørnstad Bryan T. Grenfell
+	Quantile estimation of a general single-index model	2008	Efang Kong Yingcun Xia
+	Shrinkage Estimation of the Varying Coefficient Model	2008	Hansheng Wang Yingcun Xia
+	Quantile Estimation of A general Single-Index Model	2008	Efang Kong Yingcun Xia
+ PDF Chat	A constructive approach to the estimation of dimension reduction directions	2007	Yingcun Xia
+	Uniform Bahadur Representation for Local Polynomial Estimates of M-Regression and Its Application to The Additive Model	2007	Efang Kong Oliver Linton Yingcun Xia
+	Variable selection for the single-index model	2007	E. Kong Yingcun Xia
+	THRESHOLD VARIABLE SELECTION USING NONPARAMETRIC METHODS	2007	Yingcun Xia Wai Keung Li Howell Tong
+	Uniform Bahadur representation for local polynomial estimates of M-regression and its application to the additive model	2007	E. Kong Oliver Linton Yingcun Xia
+	A Constructive Approach to the Estimation of Dimension Reduction Directions	2007	Yingcun Xia
+	Uniform Bahadur Representation for Local Polynomial Estimates of M-Regression and Its Application to The Additive Model	2007	Efang Kong Oliver Linton Yingcun Xia
+	ASYMPTOTIC DISTRIBUTIONS FOR TWO ESTIMATORS OF THE SINGLE-INDEX MODEL	2006	Yingcun Xia
+	On the Efficiency of Estimation for a Single-index Model	2006	Yingcun Xia Howell Tong
+	Semi-parametric estimation of partially linear single-index models	2006	Yingcun Xia Wolfgang Karl Härdle
+ PDF Chat	Semiparametric Estimation of the Duration of Immunity from Infectious Disease Time Series: Influenza as a Case-Study	2005	Yingcun Xia Julia R. Gog Bryan T. Grenfell
+	Efficient estimation for semivarying-coefficient models	2004	Yingcun Xia Weiping Zhang Howell Tong
+	Measles Metapopulation Dynamics: A Gravity Model for Epidemiological Coupling and Dynamics	2004	Yingcun Xia Ottar N. Bjørnstad Bryan T. Grenfell
+	A GOODNESS-OF-FIT TEST FOR SINGLE-INDEX MODELS	2004	Yingcun Xia Dixin Zhang
+	Interpreting time-series analyses for continuous-time biological models—measles as a case study	2003	Kathryn Glass Yingcun Xia Bryan T. Grenfell
+	Dimension Reduction and Its Applications	2003	Pavel Čı́žek Yingcun Xia
+	Asymptotic Behavior of Bandwidth Selected by the Cross-Validation Method for Local Polynomial Fitting	2002	Yingcun Xia W.K. Li
+ PDF Chat	An Adaptive Estimation of Dimension Reduction Space	2002	Yingcun Xia Howell Tong W. K. Li Li Zhu
+	Semi-Parametric Estimation of generalized Partially Linear Single-Index Models	2002	Yingcun Xia Wolfgang Karl Härdle
+ PDF Chat	On the Estimation of an Instantaneous Transformation for Time Series	2000	Yingcun Xia Howell Tong W. K. Li Li Zhu
+	On Single-Index Coefficient Regression Models	1999	Yingcun Xia W. K. Li
+	On Single-Index Coefficient Regression Models	1999	Yingcun Xia W. K. Li
+	ON THE ESTIMATION AND TESTING OF FUNCTIONAL-COEFFICIENT LINEAR MODELS	1999	Yingcun Xia Wai Keung Li
+	Bias-corrected Confidence Bands in Nonparametric Regression	1998	Yingcun Xia

Common Coauthors

Coauthor	Papers Together
Efang Kong	18
Oliver Linton	10
Howell Tong	8
Wolfgang Karl Härdle	7
Degui Li	6
Haoran Zhan	5
Bryan T. Grenfell	4
Hansheng Wang	4
Chenlei Leng	3
Oliver B. Linton	3
E. Kong	2
Qian Jiang	2
Weiqiang Hang	2
Ottar N. Bjørnstad	2
Mingke Zhang	2
Jin Liu	2
Jia Chen	2
Han Lin Shang	2
Dixin Zhang	2
Jinfeng Xu	2
Li Zhu	2
Tianhao Wang	2
Lei Huang	2
Xianli Zeng	2
Wai Keung Li	2
Yu Liu	1
Jialiang Li	1
Weiping Zhang	1
Stefan Ma	1
Wenyang Zhang	1
Linjun Zhang	1
Anoop Shankar	1
Zhibo Cai	1
W. K. Li	1
Mei Yan	1
Nita Bharti	1
P. Hall	1
Wenzhuan Zhang	1
W.K. Li	1
W. K. Li	1
Tao Hu	1
W. K. Li	1
Jingli Wang	1
Hui Jiang	1
Mari Palta	1
Qing Cheng	1
Julia R. Gog	1
Namhyun Kim	1
Pavel Čı́žek	1
Kathryn Glass	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Optimal Smoothing in Single-Index Models	1993	Wolfgang Karl Härdle Peter Hall Hidehiko Ichimura	18
+	MULTIVARIATE LOCAL POLYNOMIAL REGRESSION FOR TIME SERIES:UNIFORM STRONG CONSISTENCY AND RATES	1996	Elias Masry	17
+ PDF Chat	Investigating Smooth Multiple Regression by the Method of Average Derivatives	1989	Wolfgang Karl Härdle Thomas M. Stoker	17
+ PDF Chat	An Adaptive Estimation of Dimension Reduction Space	2002	Yingcun Xia Howell Tong W. K. Li Li Zhu	17
+	Generalized Partially Linear Single-Index Models	1997	Raymond J. Carroll Jianqing Fan Irène Gijbels M. P. Wand	16
+ PDF Chat	Weak and strong uniform consistency of kernel regression estimates	1982	Y. P. Mack Bernard W. Silverman	15
+	ASYMPTOTIC DISTRIBUTIONS FOR TWO ESTIMATORS OF THE SINGLE-INDEX MODEL	2006	Yingcun Xia	11
+ PDF Chat	Functional-Coefficient Autoregressive Models	1993	Rong Chen Ruey S. Tsay	11
+ PDF Chat	Semiparametric least squares (SLS) and weighted SLS estimation of single-index models	1993	Hidehiko Ichimura	11
+ PDF Chat	Structure Adaptive Approach for Dimension Reduction	2001	Marian Hristache Anatoli Juditsky Jörg Polzehl Vladimir Spokoiny	10
+	Direction estimation in single-index regressions	2005	Xiangrong Yin R. Dennis Cook	10
+ PDF Chat	Statistical estimation in varying coefficient models	1999	Jianqing Fan Wenyang Zhang	10
+ PDF Chat	On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma	1992	Ker-Chau Li	10
+ PDF Chat	A constructive approach to the estimation of dimension reduction directions	2007	Yingcun Xia	10
+	Direct estimation of the index coefficient in a single-index model	2001	Marian Hristache Anatoli Juditsky Vladimir Spokoiny	9
+ PDF Chat	On Projection Pursuit Regression	1989	Peter Hall	8
+	Exploring Regression Structure Using Nonparametric Functional Estimation	1993	Alexander Samarov	8
+ PDF Chat	On average derivative quantile regression	1997	Probal Chaudhuri Kjell A. Doksum Alexander Samarov	8
+	Penalized Spline Estimation for Partially Linear Single-Index Models	2002	Yan Yu David Ruppert	8
+ PDF Chat	UNIFORM BAHADUR REPRESENTATION FOR LOCAL POLYNOMIAL ESTIMATES OF M-REGRESSION AND ITS APPLICATION TO THE ADDITIVE MODEL	2010	Efang Kong Oliver Linton Yingcun Xia	8
+ PDF Chat	Dimension Reduction for the Conditional<i>k</i>th Moment in Regression	2002	Xiangrong Yin R. Dennis Cook	8
+ PDF Chat	Dimension reduction for conditional mean in regression	2002	R. Dennis Cook Bing Li	8
+ PDF Chat	A Note on Quantiles in Large Samples	1966	R. R. Bahadur	7
+ PDF Chat	Profile likelihood inferences on semiparametric varying-coefficient partially linear models	2005	Jianqing Fan Tao Huang	7
+	Varying-Coefficient Models	1993	Trevor Hastie Robert Tibshirani	7
+ PDF Chat	The Functional Law of the Iterated Logarithm for Stationary Strongly Mixing Sequences	1995	Emmanuel Rio	7
+	Direct Semiparametric Estimation of Single-Index Models with Discrete Covariates	1996	Joël L. Horowitz Wolfgang Karl Härdle	7
+ PDF Chat	Efficient Estimation and Inferences for Varying-Coefficient Models	2000	Zongwu Cai Jianqing Fan Runze Li	7
+ PDF Chat	Contour regression: A general approach to dimension reduction	2005	Bing Li Hongyuan Zha Francesca Chiaromonte	7
+	ON ESTIMATING THRESHOLDS IN AUTOREGRESSIVE MODELS	1986	Kung‐Sik Chan H. Tong	6
+	On Single-Index Coefficient Regression Models	1999	Yingcun Xia W. K. Li	6
+ PDF Chat	Projection Pursuit Regression	1981	Jerome H. Friedman Werner Stuetzle	6
+ PDF Chat	Simultaneous Confidence Bands and Hypothesis Testing in Varying‐coefficient Models	2000	Jianqing Fan Wenyang Zhang	6
+	Root-N-Consistent Semiparametric Regression	1988	Peter M. Robinson	6
+	Nonparametric conditional hazard rate estimation: A local linear approach	2007	Laura Spierdijk	6
+	A Bernstein-type inequality for U-statistics and U-processes	1995	Miguel A. Arcones	6
+ PDF Chat	Time Series Modelling of Childhood Diseases: A Dynamical Systems Approach	2000	Bärbel Finkenstädt Bryan T. Grenfell	6
+	Single-index quantile regression	2010	Tracy Z. Wu Keming Yu Yan Yu	6
+	Second Order Approximation in the Partially Linear Regression Model	1995	Oliver Linton	6
+	An Effective Bandwidth Selector for Local Least Squares Regression	1995	David Ruppert Simon J. Sheather M. P. Wand	6
+	Estimation of additive regression models with known links	1996	Oliver Linton Wolfgang Karl Härdle	5
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	5
+	Regression Graphics: Ideas for Studying Regressions Through Graphics	1999	R. W. Moore	5
+	Randomly censored partially linear single-index models	2007	Xuewen Lu Tsung‐Lin Cheng	5
+ PDF Chat	On semiparametric -estimation in single-index regression	2004	Michel Delecroix Marian Hristache Valentin Patilea	5
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	5
+ PDF Chat	Local asymptotics for quantile smoothing splines	1997	Stephen Portnoy	5
+	Sliced Regression for Dimension Reduction	2008	Hansheng Wang Yingcun Xia	5
+	New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis	2004	Jianqing Fan Runze Li	5
+ PDF Chat	Location estimation in nonparametric regression with censored data	2007	Cédric Heuchenne Ingrid Van Keilegom	5