Variable Selection for Semiparametric Isotonic Regression Models. - Jiang Du 008; Zhongzhan Zhang; Tianfa Xie (NL-MUA, 2011)

Regularized REML for Estimation in Heteroscedastic Regression Models. - Dengke Xu; Zhongzhan Zhang (NL-MUA, 2011)

Semiparametric analysis of isotonic errors-in-variables regression models with randomly right censored response. - Zhimeng Sun; Zhongzhan Zhang; Jiang Du 008 (J. Syst. Sci. Complex., 2013)

A Robust Variable Selection to t-type Joint Generalized Linear Models via Penalized t-type Pseudo-likelihood. - Liu-Cang Wu; Zhongzhan Zhang; Guo-Liang Tian; Dengke Xu (Commun. Stat. Simul. Comput., 2016)

Set-valued and interval-valued stationary time series. - Xun Wang 002; Zhongzhan Zhang; Shoumei Li (J. Multivar. Anal., 2016)

M-Estimation in the partially linear model with Bernstein polynomials under shape constrains. - Jianhua Ding; Zhongzhan Zhang (Commun. Stat. Simul. Comput., 2017)

Bayesian inference for joint location and scale nonlinear models with skew-normal errors. - Dengke Xu; Zhongzhan Zhang (Commun. Stat. Simul. Comput., 2017)

Estimation for the censored partially linear quantile regression models. - Jiang Du 008; Zhongzhan Zhang; Dengke Xu (Commun. Stat. Simul. Comput., 2018)

Robust exponential squared loss-based estimation in semi-functional linear regression models. - Ping Yu; Zhongyi Zhu; Zhongzhan Zhang (Comput. Stat., 2019)

A Constrained Interval-Valued Linear Regression Model: A New Heteroscedasticity Estimation Method. - Yu Zhong; Zhongzhan Zhang; Shoumei Li (J. Syst. Sci. Complex., 2020)

A kernel-based measure for conditional mean dependence. - Tingyu Lai; Zhongzhan Zhang; Yafei Wang (Comput. Stat. Data Anal., 2021)

Testing independence of functional variables by angle covariance. - Tingyu Lai; Zhongzhan Zhang; Yafei Wang; Linglong Kong (J. Multivar. Anal., 2021)

Estimation in Partially Observed Functional Linear Quantile Regression. - Juxia Xiao; Tianfa Xie; Zhongzhan Zhang (J. Syst. Sci. Complex., 2022)

A Nonparametric Model Checking Test for Functional Linear Composite Quantile Regression Models. - Lili Xia; Jiang Du 008; Zhongzhan Zhang (J. Syst. Sci. Complex., 2024)

Quantile feature screening for infinite dimensional data under FDR control. - Zhentao Tian; Zhongzhan Zhang (Comput. Stat. Data Anal., 2025)