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2020 – today
- 2024
[j12]Lili Xia, Jiang Du, Zhongzhan Zhang:
A Nonparametric Model Checking Test for Functional Linear Composite Quantile Regression Models. J. Syst. Sci. Complex. 37(4): 1714-1737 (2024)- 2022
- [j11]Juxia Xiao, Tianfa Xie, Zhongzhan Zhang:
Estimation in Partially Observed Functional Linear Quantile Regression. J. Syst. Sci. Complex. 35(1): 313-341 (2022) - 2021
- [j10]Tingyu Lai, Zhongzhan Zhang, Yafei Wang:
A kernel-based measure for conditional mean dependence. Comput. Stat. Data Anal. 160: 107246 (2021) - [j9]Tingyu Lai, Zhongzhan Zhang, Yafei Wang, Linglong Kong
:
Testing independence of functional variables by angle covariance. J. Multivar. Anal. 182: 104711 (2021) - 2020
- [j8]Yu Zhong, Zhongzhan Zhang, Shoumei Li:
A Constrained Interval-Valued Linear Regression Model: A New Heteroscedasticity Estimation Method. J. Syst. Sci. Complex. 33(6): 2048-2066 (2020)
2010 – 2019
- 2019
- [j7]Ping Yu, Zhongyi Zhu, Zhongzhan Zhang:
Robust exponential squared loss-based estimation in semi-functional linear regression models. Comput. Stat. 34(2): 503-525 (2019) - 2018
- [j6]Jiang Du, Zhongzhan Zhang, Dengke Xu:
Estimation for the censored partially linear quantile regression models. Commun. Stat. Simul. Comput. 47(8): 2393-2408 (2018) - 2017
- [j5]Dengke Xu, Zhongzhan Zhang:
Bayesian inference for joint location and scale nonlinear models with skew-normal errors. Commun. Stat. Simul. Comput. 46(1): 619-630 (2017) - [j4]Jianhua Ding, Zhongzhan Zhang:
M-Estimation in the partially linear model with Bernstein polynomials under shape constrains. Commun. Stat. Simul. Comput. 46(1): 779-794 (2017) - 2016
- [j3]Liu-Cang Wu, Zhongzhan Zhang, Guo-Liang Tian, Dengke Xu:
A Robust Variable Selection to t-type Joint Generalized Linear Models via Penalized t-type Pseudo-likelihood. Commun. Stat. Simul. Comput. 45(7): 2320-2337 (2016) - [j2]Xun Wang, Zhongzhan Zhang, Shoumei Li:
Set-valued and interval-valued stationary time series. J. Multivar. Anal. 145: 208-223 (2016) - 2013
- [j1]Zhimeng Sun, Zhongzhan Zhang, Jiang Du:
Semiparametric analysis of isotonic errors-in-variables regression models with randomly right censored response. J. Syst. Sci. Complex. 26(3): 441-461 (2013) - 2011
- [c2]Dengke Xu, Zhongzhan Zhang:
Regularized REML for Estimation in Heteroscedastic Regression Models. NL-MUA 2011: 495-502 - [c1]Jiang Du, Zhongzhan Zhang, Tianfa Xie:
Variable Selection for Semiparametric Isotonic Regression Models. NL-MUA 2011: 525-532
Coauthor Index
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