Liucang Wu

发表

New estimation in mixture of experts models using the Pearson type VII distribution

Junhui Yin, Lin Dai, Liu-Cang Wu, 2020, Commun. Stat. Simul. Comput..

A Robust Variable Selection to t-type Joint Generalized Linear Models via Penalized t-type Pseudo-likelihood

Guo-Liang Tian, Zhongzhan Zhang, Liu-Cang Wu, 2016, Commun. Stat. Simul. Comput..

Variable Selection in Joint Location and Scale Models of the Skew-t-Normal Distribution

Liu-Cang Wu, Liucang Wu, 2014, Commun. Stat. Simul. Comput..

Joint modelling of location and scale parameters of the skew-normal distribution

Huiqiong Li, Liucang Wu, 2014 .

Neuro‐adaptive practical prescribed‐time control for pure‐feedback nonlinear systems without accurate initial errors

Yan-Rong Tan, Liucang Wu, 2023, International Journal of Adaptive Control and Signal Processing.

A skew–normal mixture of joint location, scale and skewness models

Liu-Cang Wu, Huiqiong Li, Jie-yi Yi, 2016 .

A skew–normal mixture of joint location, scale and skewness models

Jie-yi Yi, Liucang Wu, Hui-qiong Li, 2016, Applied Mathematics-A Journal of Chinese Universities.

A Hierarchical Bayesian Approach for Finite Mixture of Mode Regression Model Using Skew-Normal Distribution

Min Wang, X. Zeng, Yuanyuan Ju, 2023, Communications in Mathematics and Statistics.

Estimation for finite mixture of mode regression models using skew-normal distribution

X. Zeng, Liucang Wu, Xingyun Cao, 2022, Communications in Statistics - Theory and Methods.

Variable selection in finite mixture of location and mean regression models using skew-normal distribution

Xin Zeng, Liucang Wu, Danlu Wang, 2021, Communications in Statistics - Simulation and Computation.

Variable selection for skew-normal mixture of joint location and scale models

Song Yang, Ye Tao, Liucang Wu, 2021, Applied Mathematics-A Journal of Chinese Universities.

Heteroscedastic Laplace mixture of experts regression models and applications

Shu-yu Zhang, Shuang-shuang Li, Liucang Wu, 2021 .

Estimation and variable selection for mixture of joint mean and variance models

Liu-Cang Wu, Shuangshuang Li, Ye Tao, 2020, Communications in Statistics - Theory and Methods.

Robust variable selection in finite mixture of regression models using the t distribution

Liu-Cang Wu, Junhui Yin, Lin Dai, 2018, Communications in Statistics - Theory and Methods.

Bayesian Influence Analysis of the Skew-Normal Spatial Autoregression Models

Liu-Cang Wu, Yuanyuan Ju, Lin Dai, 2022, Mathematics.

Statistical measure researches for the impacts of COVID-19 on Shanghai Securities Composite Index: based on mode regression model using skew-normal distribution

Yuanyuan Ju, Xin Zeng, Liucang Wu, 2021 .

Variable selection in high-dimensional double generalized linear models

Dengke Xu, Zhongzhan Zhang, Liucang Wu, 2012, Statistical Papers.

Variable selection in high-dimensional double generalized linear models

Dengke Xu, Zhongzhang Zhang, Liu-Cang Wu, 2014 .

A novel residual subsampling method for skew-normal mode regression model with massive data

Min Wang, Zhe Jiang, Yan-qiong Wu, 2023, Communications in Statistics - Theory and Methods.

Statistical analysis of non-inferiority via non-zero risk difference in stratified matched-pair studies

Niansheng Tang, Huiqiong Li, Liucang Wu, 2008 .

Variable selection for joint mean and dispersion models of the inverse Gaussian distribution

Huiqiong Li, Liucang Wu, Huiqiong Li, 2012 .

Variable selection for joint mean and dispersion models of the inverse Gaussian distribution

Liu-Cang Wu, Huiqiong Li, Liucang Wu, 2011, Metrika.

Zero-one-inflated simplex regression models for the analysis of continuous proportion data

G. Tian, K. Yuen, P. Liu, 2020 .

Bayesian analysis of joint mean and covariance models for longitudinal data

Dengke Xu, Zhongzhang Zhang, Liu-Cang Wu, 2014 .