Zhongyi Zhu

发表

Corrected-loss estimation for quantile regression with covariate measurement errors.

L. Stefanski, H. Wang, Zhongyi Zhu, 2012, Biometrika.

Quantile regression in partially linear varying coefficient models

Jianhui Zhou, H. Wang, Zhongyi Zhu, 2009, 0911.3501.

Generalized estimating equations for variance and covariance parameters in regression credibility models

W. Fung, Zhongyi Zhu, C. Lo, 2006 .

ROBUST SUBGROUP IDENTIFICATION

H. Wang, Zhongyi Zhu, Yingying Zhang, 2019, Statistica Sinica.

Estimation in a semiparametric model for longitudinal data with unspecified dependence structure

Zhongyi Zhu, Xuming He, W. Fung, 2002 .

Composite change point estimation for bent line quantile regression

H. Wang, Zhongyi Zhu, Liwen Zhang, 2017 .

Spatially clustered varying coefficient model

Zhongyi Zhu, Yanlin Tang, Fangzheng Lin, 2020, J. Multivar. Anal..

Partial Linear Models for Longitudinal Data Based on Quadratic Inference Functions

Zhongyi Zhu, Wing K. Fung, W. Fung, 2008 .

Statistical inference for multiple change‐point models

Weiqi Wang, Xuming He, Zhongyi Zhu, 2020, Scandinavian Journal of Statistics.

Variable selection for the partial linear single-index model

Zhongyi Zhu, Wu Wang, 2017 .

Robust Variable Selection in Linear Mixed Models

Zhongyi Zhu, G. Qin, Yali Fan, 2014 .

Nonparametric Cluster Analysis on Multiple Outcomes of Longitudinal Data

A. Qu, Zhongyi Zhu, Xiaolu Zhu, 2020 .

Structural Parameter Estimation Using Generalized Estimating Equations for Regression Credibility Models

W. Fung, Zhongyi Zhu, C. Lo, 2007, ASTIN Bulletin: The Journal of the International Actuarial Association.

Local influence analysis for penalized Gaussian likelihood estimation in partially linear single-index models

Zhongyi Zhu, Jing-Long Wang, Q. Zou, 2009 .

VARIABLE SELECTION IN ROBUST JOINT MEAN AND COVARIANCE MODEL FOR LONGITUDINAL DATA ANALYSIS

W. Fung, Zhongyi Zhu, Xueying Zheng, 2014 .

Quantile-regression-based clustering for panel data

H. Wang, Zhongyi Zhu, Yingying Zhang, 2019, Journal of Econometrics.

Empirical Likelihood Inference for Longitudinal Data with Missing Response Variables and Error-Prone Covariates

Tao Zhang, Zhongyi Zhu, Zhang Tao, 2011 .

Supplement of Single-index thresholding in quantile regression

H. Wang, Zhongyi Zhu, Yingying Zhang, 2021 .

Web-based Supplementary Materials for "Doubly Robust Estimation of Generalized Partial Linear Models for Longitudinal Data with Dropouts" by Lin, Fu, Qin and Zhu

Zhongyi Zhu, G. Qin, Huiming Lin, 2016 .

Variable selection in censored quantile regression with high dimensional data

Zhongyi Zhu, Yanlin Tang, Yali Fan, 2018 .

Threshold effect test in censored quantile regression

Xinyuan Song, Zhongyi Zhu, Yanlin Tang, 2015 .

Robust exponential squared loss-based estimation in semi-functional linear regression models

Zhongyi Zhu, Zhongzhang Zhang, P. Yu, 2018, Computational Statistics.

Homogeneity and Sparsity Analysis for High-Dimensional Panel Data Models

Zhongyi Zhu, Wu Wang, 2022, Journal of Business & Economic Statistics.

Conditional empirical likelihood for quantile regression models

Zhongyi Zhu, Wu Wang, 2016, Metrika.

Testing for change points in partially linear models

Zhongyi Zhu, Li-wen Zhang, 2015, Acta Mathematicae Applicatae Sinica, English Series.

Transfer Learning for High-dimensional Quantile Regression via Convolution Smoothing

Zhongyi Zhu, Yijiao Zhang, 2022, 2212.00428.

M-estimators for single-index model using B-spline

Zhongyi Zhu, Q. Zou, 2013, Metrika.

Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study

Jiajia Zhang, Zhongyi Zhu, G. Qin, 2021, Comput. Stat. Data Anal..

Robust Estimation for Partial Functional Linear Regression Model Based on Modal Regression

Zhongyi Zhu, Jianhong Shi, P. Yu, 2020, Journal of Systems Science and Complexity.

Variable selection for the partial linear single-index model

Zhongyi Zhu, Wu Wang, 2017, Acta Mathematicae Applicatae Sinica, English Series.

Estimating Restricted Common Structural Changes for Panel Data

Zhongyi Zhu, Li-wen Zhang, 2019, Acta Mathematicae Applicatae Sinica, English Series.

Weighted quantile regression in varying-coefficient model with longitudinal data

Zhongyi Zhu, Yanlin Tang, Fangzheng Lin, 2020, Comput. Stat. Data Anal..

Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout, with applications to quality of life measurements from clinical trials

Zhongyi Zhu, Dongsheng Tu, Guoyou Qin, 2019, Statistics in medicine.

Conditional empirical likelihood for quantile regression models

Zhongyi Zhu, Wu Wang, 2017 .

Robust estimation in generalized semiparametric mixed models for longitudinal data

Zhongyi Zhu, Guoyou Qin, Zhongyi Zhu, 2007 .

Penalized quadratic inference functions for single-index models with longitudinal data

Yang Bai, Zhong Yi Zhu, Wing K. Fung, 2009, J. Multivar. Anal..

Single-index Thresholding in Quantile Regression

Zhongyi Zhu, Yingying Zhang, Huixia Judy Wang, 2021, Journal of the American Statistical Association.

Inference for Generalized partial functional linear regression

Zhongyi Zhu, Ting Li, Zhongyi Zhu, 2020 .

Quantile regression for functional partially linear model in ultra-high dimensions

Hongtu Zhu, Ting Li, Zhongyi Zhu, 2019, Comput. Stat. Data Anal..

Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data

Zhongyi Zhu, Tengfei Li, Hongtu Zhu, 2020, Journal of the American Statistical Association.

Testing for change points in partially linear models

Zhongyi Zhu, Liwen Zhang, 2015 .

An informative subset-based estimator for censored quantile regression

Zhongyi Zhu, Yanlin Tang, Xuming He, 2012 .

On the MLE of the Waring distribution

Zhongyi Zhu, Yanlin Tang, Jing-Long Wang, 2023, Statistical Theory and Related Fields.

Robust Estimation in Generalized Partial Linear Models for Clustered Data

Zhongyi Zhu, Xuming He, W. Fung, 2005 .

Robust Estimation for Partial Functional Linear Regression Model Based on Modal Regression

Ping Yu, Jianhong Shi, Zhongyi Zhu, 2020, J. Syst. Sci. Complex..

M-estimators for single-index model using B-spline

Zhongyi Zhu, Zhongyi Zhu, Qingming Zou, 2014 .

FUNCTIONAL ADDITIVE QUANTILE REGRESSION

YINGYING ZHANG, HENG LIAN, LI GUODONG, 2021 .

A UNIFIED VARIABLE SELECTION APPROACH FOR VARYING COEFFICIENT MODELS

Zhongyi Zhu, Xin-Yuan Song, Yanlin Tang, 2012 .

An informative subset-based estimator for censored quantile regression

Xuming He, H. Wang, Zhongyi Zhu, 2011, TEST.

Robust estimation of covariance parameters in partial linear model for longitudinal data

Zhongyi Zhu, Wing K. Fung, Guoyou Qin, 2009 .

Composite quantile estimation in partial functional linear regression model with dependent errors

Zhongyi Zhu, Zhongzhang Zhang, P. Yu, 2019 .

Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers

Jiajia Zhang, Guoyou Qin, Zhongyi Zhu, 2018, J. Multivar. Anal..

Multiply robust subgroup analysis based on a single‐index threshold linear marginal model for longitudinal data with dropouts

D. Tu, Zhongyi Zhu, G. Qin, 2022, Statistics in medicine.

Robust estimation of generalized partially linear model for longitudinal data with dropouts

W. Fung, Zhongyi Zhu, G. Qin, 2016 .

Robust estimation of partially linear models for longitudinal data with dropouts and measurement error

Guoyou Qin, Zhongyi Zhu, Jiajia Zhang, 2016, Statistics in medicine.

Robust estimation of models for longitudinal data with dropouts and outliers

Yuexia Zhang, Bo Fu, Zhongyi Zhu, 2020, Journal of applied statistics.

Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts

Zhongyi Zhu, Bo Fu, Guoyou Qin, 2017, Biometrics.

Robust estimation of mean and covariance for longitudinal data with dropouts

Zhongyi Zhu, Guoyou Qin, Zhongyi Zhu, 2015 .

Robustified maximum likelihood estimation in generalized partial linear mixed model for longitudinal data.

Zhongyi Zhu, Guo You Qin, Zhong Yi Zhu, 2009, Biometrics.

Robust estimating equations and bias correction of correlation parameters for longitudinal data

Zhong Yi Zhu, Guoyou Qin, Wing K. Fung, 2008, Comput. Stat. Data Anal..

A novel robust approach for analysis of longitudinal data

Guoyou Qin, Zhongyi Zhu, Yuexia Zhang, 2019, Comput. Stat. Data Anal..

Variable selection in robust regression models for longitudinal data

Zhong Yi Zhu, Guoyou Qin, Yali Fan, 2012, J. Multivar. Anal..

Influence diagnostics and outlier tests for semiparametric mixed models

Wing K. Fung, Xuming He, W. Fung, 2002 .

Weighted empirical likelihood for generalized linear models with longitudinal data

Zhongyi Zhu, Wing K. Fung, W. Fung, 2010 .

Variance component testing in semiparametric mixed models

W. Fung, Zhongyi Zhu, 2004 .

Testing the Correlation and Heterogeneity for Hierarchical Nonlinear Mixed-Effects Models

Zou Qingming, Zhong Y. Zhu, Zhongyi Zhu, 2011, Adv. Decis. Sci..

Variable selection in censored quantile regression with high dimensional data

Zhongyi Zhu, Yanlin Tang, Yali Fan, 2017, Science China Mathematics.

Clusterwise functional linear regression models

Hongtu Zhu, Zhongyi Zhu, Xinyuan Song, 2021, Comput. Stat. Data Anal..

Subgroup analysis for longitudinal data based on a partial linear varying coefficient model with a change plane.

Zhongyi Zhu, G. Qin, Kecheng Wei, 2023, Statistics in medicine.

Testing for change points due to a covariate threshold in quantile regression

H. Wang, Zhongyi Zhu, Liwen Zhang, 2015 .

Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces

Zhongyi Zhu, Heng Lian, Wenqi Lu, 2021, Journal of Statistical Planning and Inference.

Weak signal identification and inference in penalized likelihood models for categorical responses

A. Qu, Zhongyi Zhu, Peibei Shi, 2021, 2108.07940.

Group structure detection for a high‐dimensional panel data model

Zhongyi Zhu, Wu Wang, 2021, Canadian Journal of Statistics.

Risk Factor Selection in Rate Making: EM Adaptive LASSO for Zero‐Inflated Poisson Regression Models

Zhongyi Zhu, Yanlin Tang, Liya Xiang, 2014, Risk analysis : an official publication of the Society for Risk Analysis.

A Data Fusion Method for Quantile Treatment Effects

Zhongyi Zhu, Yijiao Zhang, 2023, Statistica sinica.

Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing

Zhongyi Zhu, Yijiao Zhang, 2022, Statistica Sinica.

Recurrent Events Analysis in the Presence of Terminal Event and Zero-recurrence Subjects

Xian Zhou, Zhongyi Zhu, Xiaobing Zhao, 2015 .

Variable selection in high-dimensional quantile varying coefficient models

Huixia Judy Wang, Zhongyi Zhu, Xinyuan Song, 2013, J. Multivar. Anal..

Variable selection in quantile varying coefficient models with longitudinal data

Huixia Judy Wang, Zhongyi Zhu, Yanlin Tang, 2013, Comput. Stat. Data Anal..

SPARSE AND LOW-RANK MATRIX QUANTILE ESTIMATION WITH APPLICATION TO QUADRATIC REGRESSION

Zhongyi Zhu, Heng Lian, W. Lu, 2021 .

Empirical likelihood for quantile regression models with longitudinal data

Zhongyi Zhu, Huixia Judy Wang, H. Wang, 2011 .

Nonparametric Cluster Analysis on Multiple Outcomes of Longitudinal Data

A. Qu, Zhongyi Zhu, Xiaolu Zhu, 2020, Statistica Sinica.

On the asymptotics of marginal regression splines with longitudinal data

Zhongyi Zhu, Wing K. Fung, Xuming He, 2008 .

Robust empirical likelihood inference for generalized partial linear models with longitudinal data

Yang Bai, Zhong Yi Zhu, Guoyou Qin, 2012, J. Multivar. Anal..

Robust Estimation in Partial Linear Mixed Model for Longitudinal Data

Zhongyi Zhu, G. Qin, Qin Guoyou, 2008 .

Local asymptotic behavior of regression splines for marginal semiparametric models with longitudinal data

Zhongyi Zhu, G. Qin, 2009 .

Composite Quantile Estimation in Partial Functional Linear Regression Model Based on Polynomial Spline

Zhongyi Zhu, P. Yu, Ting Li, 2021, Acta Mathematica Sinica, English Series.

Variable selection via composite quantile regression with dependent errors

Xinyuan Song, Zhongyi Zhu, Yanlin Tang, 2015 .

Joint Mean-Covariance Models with Applications to Longitudinal Data in Partially Linear Model

Zhongyi Zhu, Zhongyi Zhu, Jie Mao, 2011 .

Joint semiparametric mean-covariance model in longitudinal study

Zhongyi Zhu, J. Mao, 2011 .

Dynamic single-index model for functional data

Zhongyi Zhu, Yang Bai, Haiqiang Ma, 2016, Science China Mathematics.

Multiply robust subgroup identification for longitudinal data with dropouts via median regression

Wenqi Lu, Guoyou Qin, Zhongyi Zhu, 2021, J. Multivar. Anal..