Articles with public access mandates - Jun Zhang/张君Learn more
Not available anywhere: 29
Nonlinear regression models with general distortion measurement errors
J Zhang, B Lin, G Li
Journal of Statistical Computation and Simulation 89 (8), 1482-1504, 2019
Mandates: National Natural Science Foundation of China
Estimation and variable selection for partial linear single-index distortion measurement errors models
J Zhang
Statistical Papers 62 (2), 887-913, 2021
Mandates: National Natural Science Foundation of China
Checking the adequacy for a distortion errors-in-variables parametric regression model
J Zhang, G Li, Z Feng
Computational Statistics & Data Analysis 83, 52-64, 2015
Mandates: National Natural Science Foundation of China
Multiplicative regression models with distortion measurement errors
J Zhang, J Zhu, Y Zhou, X Cui, T Lu
Statistical Papers 61, 2031-2057, 2020
Mandates: National Natural Science Foundation of China
Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models
J Zhang, B Lin, Z Feng
Computational Statistics & Data Analysis 141, 77-93, 2020
Mandates: National Natural Science Foundation of China
Logarithmic calibration for multiplicative distortion measurement errors regression models
J Zhang, Y Yang, G Li
Statistica Neerlandica 74 (4), 462-488, 2020
Mandates: National Natural Science Foundation of China
Estimation and variable selection in partial linear single index models with error-prone linear covariates
J Zhang, X Wang, Y Yu, Y Gai
Statistics 48 (5), 1048-1070, 2014
Mandates: National Natural Science Foundation of China
Stable prediction in high-dimensional linear models
B Lin, Q Wang, J Zhang, Z Pang
Statistics and Computing 27, 1401-1412, 2017
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Statistical inference on restricted partial linear regression models with partial distortion measurement errors
J Zhang, N Zhou, Z Sun, G Li, Z Wei
Statistica Neerlandica 70 (4), 304-331, 2016
Mandates: National Natural Science Foundation of China
Estimation and hypothesis test on partial linear models with additive distortion measurement errors
J Zhang, Y Zhou, B Lin, Y Yu
Computational Statistics & Data Analysis 112, 114-128, 2017
Mandates: National Natural Science Foundation of China
Estimating the conditional single-index error distribution with a partial linear mean regression
J Zhang, Z Feng, P Xu
Test 24, 61-83, 2015
Mandates: National Natural Science Foundation of China
Testing symmetry based on empirical likelihood
J Zhang, J Zhang, X Zhu, T Lu
Journal of Applied Statistics 45 (13), 2429-2454, 2018
Mandates: National Natural Science Foundation of China
Nonlinear measurement error models subject to additive distortion
J Zhang, Y Yu, B Zhou, H Liang
Journal of Statistical Planning and Inference 150, 49-65, 2014
Mandates: National Natural Science Foundation of China
Ridge-forward quadratic discriminant analysis in high-dimensional situations
C Xiong, J Zhang, X Luo
Journal of Systems Science and Complexity 29 (6), 1703-1715, 2016
Mandates: National Natural Science Foundation of China
Testing symmetry of model errors for nonparametric regression models by using correlation coefficient1
Y Gai, X Zhu, J Zhang
Communications in Statistics-Simulation and Computation 51 (4), 1436-1453, 2022
Mandates: National Natural Science Foundation of China
Nonlinear regression models with single‐index heteroscedasticity
J Zhang, Y Gai, B Lin, X Zhu
Statistica Neerlandica 73 (2), 292-316, 2019
Mandates: National Natural Science Foundation of China
Dimension reduction regressions with measurement errors subject to additive distortion
J Zhang, B Lin, Y Zhou, J Zhang
Journal of Statistical Computation and Simulation 88 (13), 2631-2649, 2018
Mandates: National Natural Science Foundation of China
Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models
J Zhang, J Zhang, Z Feng, X Guo
Communications in Statistics-Simulation and Computation 49 (7), 1798-1814, 2020
Mandates: National Natural Science Foundation of China
Detection of marginal heteroscedasticity for partial linear single-index models
J Zhang, Y Gai, B Lin
Communications in Statistics-Simulation and Computation 50 (3), 724-743, 2021
Mandates: National Natural Science Foundation of China
Quantile regression estimation for distortion measurement error data
J Zhang, J Wang, C Niu, M Sun
Communications in Statistics-Theory and Methods 47 (20), 5107-5126, 2018
Mandates: National Natural Science Foundation of China
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