张君｜深圳大学｜学者主页

2026

Adaptive calibrated testing strategies for multiplicatively distorted exponential variables

Zixi Shi, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2026

Novel calibrated inference strategies for multiplicative distortion beta models: theory, efficiency, and empirical applications

Zidong Chen, Jun Zhang

Journal of Statistical Computation and Simulation

DOI

2026

Innovative covariance-based framework: symmetry assessment and exponentiality testing under multiplicative distortion measurement Errors

Siming Deng, Jun Zhang, Jiongtao Zhong

Communications in Statistics - Simulation and Computation

DOI

2025

Calibrated statistical measures in additive distortion measurement error models

Xiaozhen Yang, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2025

Asymptotically distribution-free goodness-of-fit testing for normality: a log-transformed covariance-driven framework under multiplicative distortion

Jun Zhang, Bingqing Lin

Statistical Papers

DOI

2025

Advancing multiplicative distortion models in nonlinear regression: relaxing independence and enhancing inference

Jun Zhang, Yujie Gai

Journal of nonparametric statistics

DOI

2025

Calibration and goodness-of-fit testing for standard power distributions under multiplicative distortion errors: methodological frameworks and statistical inference

Xuchen Li, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2025

Regression models with multiplicative distortion measurement errors: a two-stage calibration approach

Jun Zhang, Bingqing Lin

Statistics

DOI

2025

Greenwood Statistic Under Distortion Measurement Errors

Chaolin Yao, Jun Zhang

Statistical Analysis and Data Mining The ASA Data Science Journal

DOI

2025

Semi-parametric estimation of Pearson correlation coefficient under additive distortion measurement errors

Jun Zhang, Bingqing Lin

Communication in Statistics- Theory and Methods

DOI

2024

Symmetry measures under additive distortion measurement errors

Xiaozhen Yang, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2024

Orthogonality-projection-based penalized variable selection for high-dimensional partially linear models

Yiping Yang, Peixin Zhao, Jun Zhang

Applied Mathematical Modelling

DOI

2024

A new logarithmic multiplicative distortion for correlation analysis

Siming Deng, Jun Zhang

Statistical Analysis and Data Mining The ASA Data Science Journal

DOI

2024

Dimension reduction-based adaptive-to-model semi-supervised classification

Xuehu Zhu, Rongzhu Zhao, Dan Zeng, Qian Zhao, Jun Zhang

Statistical Papers

DOI

2024

Estimation and hypothesis test for varying coefficient single-index multiplicative models

Jun Zhang, Xuehu Zhu, Gaorong Li

Journal of Statistical Computation and Simulation

DOI

2024

Testing distribution for multiplicative distortion measurement errors

Leyi Cui, Yue Zhou, Jun Zhang, Yiping Yang

Communication in Statistics- Theory and Methods

DOI

2024

A revisit to Pearson correlation coefficient under multiplicative distortions

Siming Deng, Jun Zhang, Yingcong Huang, Jiongtao Zhong, Xiaozhen Yang

Communications in Statistics - Simulation and Computation

DOI

2024

Checking normality of model errors under additive distortion measurement errors

Mengyao Li, Jiangshe Zhang, Jiangshe Zhang, Jun Zhang, Jun Zhang, Yan Zhou

Journal of nonparametric statistics

DOI

2023

Covariance ratio under multiplicative distortion measurement errors

Jiongtao Zhong, Siming Deng, Jun Zhang, Zhenghui Feng

Communication in Statistics- Theory and Methods

DOI

2023

Estimation of correlation coefficient with monotone transformation and multiplicative distortions

Jun Zhang, Xuan Yu, Siming Deng, Jiongtao Zhong, Yisheng Zhou, Bingqing Lin

Communication in Statistics- Theory and Methods

DOI

2023

Non parametric regression models with additive distortions

Yujie Gai, Jun Zhang, Yiping Yang

Communication in Statistics- Theory and Methods

DOI

2023

Testing symmetry of model errors for non linear multiplicative distortion measurement error models

Jun Zhang, Zhenghui Feng, Yue Zhou

Communication in Statistics- Theory and Methods

DOI

2023

Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data

Yujie Gai, Jun Zhang, Yue Zhou

Communications in Statistics - Simulation and Computation

DOI

2023

Linear regression models with multiplicative distortions under new identifiability conditions

Jun Zhang, Bingqing Lin, Yan Zhou

Statistica Neerlandica

DOI

2023

A parametric hypothesis test for a global power law and local nonparametric trend model with multiplicative distortion measurement errors

Jun Zhang, Zhenghui Feng

Communications in Statistics - Simulation and Computation

DOI

2022

Partial linear additive distortion measurement errors models

Jun Zhang

Communication in Statistics- Theory and Methods

DOI

2022

Exponential parametric distortion nonlinear measurement errors Models

Jun Zhang, Leyi Cui

Communication in Statistics- Theory and Methods

DOI

2022

Measurement errors models with exponential parametric multiplicative distortions

Jun Zhang

Journal of Statistical Computation and Simulation

DOI

2022

Additive distortion measurement errors regression models with exponential calibration

Xuehu Zhu, Jun Zhang, Yiping Yang

Journal of Statistical Computation and Simulation

DOI

2022

Nonparametric multiplicative distortion measurement errors models with bias reduction

Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2021

Estimation of correlation coefficient under a linear multiplicative distortion measurement errors model

Jun Zhang, Baojun Yang, Zhenghui Feng

Communications in Statistics - Simulation and Computation

DOI

2021

Nonlinear multiplicative distortion regression models with second-order estimation

Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2021

Average derivation estimation with multiplicative distortion measurement errors

Zhenghui Feng, Jun Zhang, Baojun Yang

Communications in Statistics - Simulation and Computation

DOI

2021

Single-index relative error regression models

Yujie Gai, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2021

Estimation of correlation coefficient with general distortion measurement errors

Jun Zhang, Bingqing Lin

Communications in Statistics - Simulation and Computation

DOI

2021

Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models

Jun Zhang, Bingqing Lin, Yiping Yang

Statistical Papers

DOI

2021

Modal linear regression models with multiplicative distortion measurement errors

Jun Zhang, Gaorong Li, Yiping Yang

Statistical Analysis and Data Mining The ASA Data Science Journal

DOI

2021

Exponential calibration for correlation coefficient with additive distortion measurement errors

Jun Zhang, Zhuoer Xu

Statistical Analysis and Data Mining The ASA Data Science Journal

DOI

2021

Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient

Yujie Gai, Yusheng Wei, Jun Zhang, Aixian Chen

Communications in Statistics - Simulation and Computation

DOI

2021

Detection the symmetry or asymmetry of model errors in partial linear models

Yujie Gai, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2021

Model checking for multiplicative linear regression models with mixed estimators

Jun Zhang

Statistica Neerlandica

DOI

2021

Kernel density estimation for multiplicative distortion measurement regression models

Jun Zhang, Aixian Chen, Zhenghong Wei

Communications in Statistics - Simulation and Computation

DOI

2021

Modal linear regression models with additive distortion measurement errors

Jun Zhang, Yiping Yang

Journal of Statistical Computation and Simulation

DOI

2021

Logarithmic calibration for nonparametric multiplicative distortion measurement errors models

Jun Zhang, Xia Cui

Journal of Statistical Computation and Simulation

DOI

2020

Absolute logarithmic calibration for correlation coefficient with multiplicative distortion

Jun Zhang, Zhuoer Xu, Zhenghong Wei

Communications in Statistics - Simulation and Computation

DOI

2020

Testing for conditional independence: A groupwise dimension reduction‐based adaptive‐to‐model approach

Xuehu Zhu, Jun Lü, Jun Zhang, Lixing Zhu

Scandinavian Journal of Statistics

DOI

2020

General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors

Huili Zhou, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2020

Calibration procedures for linear regression models with multiplicative distortion measurement errors

Jun Zhang, Yan Zhou

Brazilian Journal of Probability and Statistics

DOI

2020

Measuring symmetry and asymmetry of multiplicative distortion measurement errors data

Jun Zhang, Yujie Gai, Xia Cui, Gaorong Li

Brazilian Journal of Probability and Statistics

DOI

2020

Regression Function Comparison for Paired Data

Xu Guo, Jun Zhang, Yun Fang

Journal of Systems Science and Complexity

DOI

2020

Detection of the symmetry of model errors for partial linear single-index models

Yujie Gai, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2020

Logarithmic calibration for partial linear models with multiplicative distortion measurement errors

Jun Zhang, Yiping Yang, Sanying Feng, Zhenghong Wei

Journal of Statistical Computation and Simulation

DOI

2020

Logarithmic calibration for multiplicative distortion measurement errors regression models

Jun Zhang, Yiping Yang, Gaorong Li

Statistica Neerlandica

DOI

2020

Partial index additive models with additive distortion measurement errors

Jun Zhang, Sanying Feng, Yujie Gai

Communications in Statistics - Simulation and Computation

DOI

2019

Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion

Jun Zhang, Yujie Gai

Communications in Statistics - Simulation and Computation

DOI

2019

Nonlinear regression models with profile nonlinear least squares estimation

Jun Zhang, Yujie Gai

Communications in Statistics - Simulation and Computation

DOI

2019

Multiplicative distortion measurement errors linear models with general moment identifiability condition

Jun Zhang, Wangli Xu, Yujie Gai

Journal of Statistical Computation and Simulation

DOI

2019

Testing symmetry of model errors for nonparametric regression models by using correlation coefficient1

Yujie Gai, Xuehu Zhu, Jun Zhang

Communications in Statistics - Simulation and Computation

DOI

2019

Testing symmetry for additive distortion measurement errors data

Jun Zhang, Yujie Gai, Feng Li

Communications in Statistics - Simulation and Computation

DOI

2019

Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models

Jun Zhang, Bingqing Lin, Zhenghui Feng

Computational Statistics & Data Analysis

DOI

2019

Estimation and variable selection for partial linear single-index distortion measurement errors models

Jun Zhang

Statistical Papers

DOI

2019

Linear regression models with general distortion measurement errors

Jun Zhang, Yujie Gai

Communications in Statistics - Simulation and Computation

DOI

2019

Generalized estimating equations for analyzing multivariate survival data

Liya Fu, Zhuoran Yang, Jun Zhang, Anle Long, Yan Zhou

Communications in Statistics - Simulation and Computation

DOI

2019

Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models

Jun Zhang, Jing Zhang, Zhenghui Feng, Xu Guo

Communications in Statistics - Simulation and Computation

DOI

2019

Nonlinear regression models with general distortion measurement errors

Jun Zhang, Bingqing Lin, Gaorong Li

Journal of Statistical Computation and Simulation

DOI

2019

Nonlinear regression models with single‐index heteroscedasticity

Jun Zhang, Yujie Gai, Bingqing Lin, Xuehu Zhu

Statistica Neerlandica

DOI

2019

Correlation curve estimation for multiplicative distortion measurement errors data

Zhenghui Feng, Yujie Gai, Jun Zhang

Journal of nonparametric statistics

DOI

2019

Detection of marginal heteroscedasticity for partial linear single-index models

Jun Zhang, Yujie Gai, Bingqing Lin

Communications in Statistics - Simulation and Computation

DOI

2019

Exploring the constant coefficient of a single-index variation

Jun Zhang, Cuizhen Niu, Gaorong Li

Brazilian Journal of Probability and Statistics

DOI

2019

Partial linear models with general distortion measurement errors

Jun Zhang

Electronic Journal of Statistics

DOI

2018

部分线性测量误差模型中的估计问题（英文）

张君，周南光，楚天玥，林汉玲

《应用概率统计》

2018

Estimation of the error distribution function for partial linear single-index models

Jun Zhang, Cuizhen Niu, Tao Lu, Zhenghong Wei

Communications in Statistics - Simulation and Computation

DOI

2018

Dimension reduction based on conditional multiple index density function

Jun Zhang, Baohua He, Tao Lü, Songqiao Wen

Brazilian Journal of Probability and Statistics

DOI

2018

Multiplicative regression models with distortion measurement errors

Jun Zhang, Junpeng Zhu, Yan Zhou, Xia Cui, Tao Lu

Statistical Papers

DOI

2018

Estimation and hypothesis test for partial linear multiplicative models

Jun Zhang, Zhenghui Feng, Heng Peng

Computational Statistics & Data Analysis

DOI

2018

Semiparametric quantile estimation for varying coefficient partially linear measurement errors models

Jun Zhang, Yan Zhou, Xia Cui, Wangli Xu

Brazilian Journal of Probability and Statistics

DOI

2018

Dimension reduction regressions with measurement errors subject to additive distortion

Junhua Zhang, Junhua Zhang, Bingqing Lin, Yan Zhou, Jun Zhang, Jun Zhang

Journal of Statistical Computation and Simulation

DOI

2018

Testing symmetry based on empirical likelihood

Jun Zhang, Jing Zhang, Xuehu Zhu, Tao Lu

Journal of Applied Statistics

DOI

2018

Statistical inference for linear regression models with additive distortion measurement errors

Zhenghui Feng, Jun Zhang, Qian Chen

Statistical Papers

DOI

2018

Nonlinear measurement errors models subject to partial linear additive distortion

Jun Zhang, Nanguang Zhou, Qian Chen, Tianyue Chu

Brazilian Journal of Probability and Statistics

DOI

2017

Partially linear mixed-effects joint models for skewed and missing longitudinal competing risks outcomes

Tao Lu, Minggen Lu, Min Wang, Jun Zhang, Guang‐Hui Dong, Yong Xu

Journal of Biopharmaceutical Statistics

DOI

2017

Quantile regression estimation for distortion measurement error data

Jun Zhang, Jiefei Wang, Cuizhen Niu, Ming Liang Sun

Communication in Statistics- Theory and Methods

DOI

2017

A constructive hypothesis test for the single-index models with two groups

Jun Zhang, Zhenghui Feng, Xiaoguang Wang

Annals of the Institute of Statistical Mathematics

DOI

2017

Partially Linear Additive Models with Unknown Link Functions

Jun Zhang, Heng Lian

Scandinavian Journal of Statistics

DOI

2017

Bayesian varying coefficient mixed-effects joint models with asymmetry and missingness

Tao Lu, Chunyan C. Cai, Minggen Lu, Jun Zhang, Guang‐Hui Dong, Min Wang

Statistical Modelling

DOI

2017

Estimation and hypothesis test on partial linear models with additive distortion measurement errors

Jun Zhang, Yan Zhou, Bingqing Lin, Yao Yu

Computational Statistics & Data Analysis

DOI

2017

On the single-index model estimate of the conditional density function: Consistency and implementation

Jun Zhang, Qian Chen, Bingqing Lin, Yan Zhou

Journal of Statistical Planning and Inference

DOI

2017

Partial linear single-index models with additive distortion measurement errors

Jun Zhang, Zhenghui Feng

Communication in Statistics- Theory and Methods

DOI

2016

Ridge-forward quadratic discriminant analysis in high-dimensional situations

Cui Xiong, Jun Zhang, Xinchao Luo

Journal of Systems Science and Complexity

DOI

2016

A Reliability Test of a Complex System Based on Empirical Likelihood

Yan Zhou, Liya Fu, Jun Zhang, Yongchang Hui

PLoS ONE

DOI

2016

Stable prediction in high-dimensional linear models

Bingqing Lin, Qihua Wang, Jun Zhang, Zhen Pang

Statistics and Computing

DOI

2016

Correlation analysis with additive distortion measurement errors

Jun Zhang, Qian Chen, Nanguang Zhou

Journal of Statistical Computation and Simulation

DOI

2016

Statistical inference on restricted linear regression models with partial distortion measurement errors

Zhenghong Wei, Yongbin Fan, Jun Zhang

Brazilian Journal of Probability and Statistics

DOI

2016

Statistical inference on restricted partial linear regression models with partial distortion measurement errors

Jun Zhang, Nanguang Zhou, Zipeng Sun, Gaorong Li, Zhenghong Wei

Statistica Neerlandica

DOI

2015

桥回归的系数估计对应于γ-范数的压缩规律（英文）

盖玉洁，张占利，张君

《应用概率统计》

2015

Efficient estimation for marginal generalized partially linear single-index models with longitudinal data

Peirong Xu, Jun Zhang, Xing‐Fang Huang, Tao Wang

Test

DOI

2015

Generalized varying coefficient partially linear measurement errors models

Jun Zhang, Zhenghui Feng, Peirong Xu, Hua Liang

Annals of the Institute of Statistical Mathematics

DOI

2015

Statistical inference on partial linear additive models with distortion measurement errors

Yujie Gai, Jun Zhang, Gaorong Li, Xinchao Luo

Statistical Methodology

DOI

2014

Generalized partially linear single‐index model for zero‐inflated count data

Xiaoguang Wang, Jun Zhang, Liang Jun Yu, Guosheng Yin

Statistics in Medicine

DOI

2014

Checking the adequacy for a distortion errors-in-variables parametric regression model

Jun Zhang, Gaorong Li, Zhenghui Feng

Computational Statistics & Data Analysis

DOI

2014

Estimating the conditional single-index error distribution with a partial linear mean regression

Jun Zhang, Zhenghui Feng, Peirong Xu

Test

DOI

2014

Nonlinear measurement error models subject to additive distortion

Jun Zhang, Yao Yu, Bu Zhou, Hua Liang

Journal of Statistical Planning and Inference

DOI

2014

Integrated conditional moment test for partially linear single index models incorporating dimension-reduction

Shujie Ma, Jun Zhang, Zihua Sun, Hua Liang

Electronic Journal of Statistics

DOI

2013

A revisit to correlation analysis for distortion measurement error data

Jun Zhang, Zhenghui Feng, Bu Zhou

Journal of Multivariate Analysis

DOI

2013

Surrogate dimension reduction in measurement error regressions

Jun Zhang, Liping Zhu, Lixing Zhu

Statistica Sinica

DOI

2013

Estimation and variable selection in partial linear single index models with error-prone linear covariates

Jun Zhang, Xiaoguang Wang, Yao Yu, Yujie Gai

Statistics

DOI

2012

测量误差数据下半参数模型与非线性模型的若干研究

张君

《华东师范大学》

2012

含测量误差的部分线性模型的发散参数估计(英文)

张君

《应用概率统计》

2012

Estimation in linear regression models with measurement errors subject to single-indexed distortion

Jun Zhang, Yujie Gai, Ping Wu

Computational Statistics & Data Analysis

DOI

2012

Partial linear single index models with distortion measurement errors

Jun Zhang, Yao Yu, Li-Xing Zhu, Hua Liang

Annals of the Institute of Statistical Mathematics

DOI

2012

Nonlinear models with measurement errors subject to single-indexed distortion

Jun Zhang, Li-Xing Zhu, Hua Liang

Journal of Multivariate Analysis

DOI

2012

Robust rank correlation based screening

Gaorong Li, Heng Peng, Jun Zhang, Lixing Zhu

The Annals of Statistics

DOI

2012

A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates

Jun Zhang, Tao Wang, Lixing Zhu, Hua Liang

Electronic Journal of Statistics

DOI

精选作品

期刊论文

Adaptive calibrated testing strategies for multiplicatively distorted exponential variables

Novel calibrated inference strategies for multiplicative distortion beta models: theory, efficiency, and empirical applications

Innovative covariance-based framework: symmetry assessment and exponentiality testing under multiplicative distortion measurement Errors

Calibrated statistical measures in additive distortion measurement error models

Asymptotically distribution-free goodness-of-fit testing for normality: a log-transformed covariance-driven framework under multiplicative distortion

Advancing multiplicative distortion models in nonlinear regression: relaxing independence and enhancing inference

Calibration and goodness-of-fit testing for standard power distributions under multiplicative distortion errors: methodological frameworks and statistical inference

Regression models with multiplicative distortion measurement errors: a two-stage calibration approach

Greenwood Statistic Under Distortion Measurement Errors

Semi-parametric estimation of Pearson correlation coefficient under additive distortion measurement errors

Symmetry measures under additive distortion measurement errors

Orthogonality-projection-based penalized variable selection for high-dimensional partially linear models

A new logarithmic multiplicative distortion for correlation analysis

Dimension reduction-based adaptive-to-model semi-supervised classification

Estimation and hypothesis test for varying coefficient single-index multiplicative models

Testing distribution for multiplicative distortion measurement errors

A revisit to Pearson correlation coefficient under multiplicative distortions

Checking normality of model errors under additive distortion measurement errors

Covariance ratio under multiplicative distortion measurement errors

Estimation of correlation coefficient with monotone transformation and multiplicative distortions

Non parametric regression models with additive distortions

Testing symmetry of model errors for non linear multiplicative distortion measurement error models

Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data

Linear regression models with multiplicative distortions under new identifiability conditions

A parametric hypothesis test for a global power law and local nonparametric trend model with multiplicative distortion measurement errors

Partial linear additive distortion measurement errors models

Exponential parametric distortion nonlinear measurement errors Models

Measurement errors models with exponential parametric multiplicative distortions

Additive distortion measurement errors regression models with exponential calibration

Nonparametric multiplicative distortion measurement errors models with bias reduction

Estimation of correlation coefficient under a linear multiplicative distortion measurement errors model

Nonlinear multiplicative distortion regression models with second-order estimation

Average derivation estimation with multiplicative distortion measurement errors

Single-index relative error regression models

Estimation of correlation coefficient with general distortion measurement errors

Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models

Modal linear regression models with multiplicative distortion measurement errors

Exponential calibration for correlation coefficient with additive distortion measurement errors

Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient

Detection the symmetry or asymmetry of model errors in partial linear models

Model checking for multiplicative linear regression models with mixed estimators

Kernel density estimation for multiplicative distortion measurement regression models

Modal linear regression models with additive distortion measurement errors

Logarithmic calibration for nonparametric multiplicative distortion measurement errors models

Absolute logarithmic calibration for correlation coefficient with multiplicative distortion

Testing for conditional independence: A groupwise dimension reduction‐based adaptive‐to‐model approach

General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors

Calibration procedures for linear regression models with multiplicative distortion measurement errors

Measuring symmetry and asymmetry of multiplicative distortion measurement errors data

Regression Function Comparison for Paired Data

Detection of the symmetry of model errors for partial linear single-index models

Logarithmic calibration for partial linear models with multiplicative distortion measurement errors

Logarithmic calibration for multiplicative distortion measurement errors regression models

Partial index additive models with additive distortion measurement errors

Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion

Nonlinear regression models with profile nonlinear least squares estimation

Multiplicative distortion measurement errors linear models with general moment identifiability condition

Testing symmetry of model errors for nonparametric regression models by using correlation coefficient1

Testing symmetry for additive distortion measurement errors data

Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models

Estimation and variable selection for partial linear single-index distortion measurement errors models

Linear regression models with general distortion measurement errors

Generalized estimating equations for analyzing multivariate survival data

Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models

Nonlinear regression models with general distortion measurement errors

Nonlinear regression models with single‐index heteroscedasticity

Correlation curve estimation for multiplicative distortion measurement errors data

Detection of marginal heteroscedasticity for partial linear single-index models

Exploring the constant coefficient of a single-index variation

Partial linear models with general distortion measurement errors

部分线性测量误差模型中的估计问题（英文）

Estimation of the error distribution function for partial linear single-index models

Dimension reduction based on conditional multiple index density function

Multiplicative regression models with distortion measurement errors

Estimation and hypothesis test for partial linear multiplicative models

Semiparametric quantile estimation for varying coefficient partially linear measurement errors models

Dimension reduction regressions with measurement errors subject to additive distortion

Testing symmetry based on empirical likelihood