快猫短视频

Education

• 2019, Ph.D., New Mexico State University
• 2014 M.S., New Mexico State University
• 2012 M.S., Northwest University, China
• 2008 B.S., Northwest University, China

Research Interests

Multivariate Statistical Analysis: Closed skew normal distribution, Sampling distribution of skew normal populations, Distribution of quadratic forms under closed skew normal settings, Matrix-variate closed skew normal distribution

Copulas Theory: Construction of (multivariate) copulas, (Local) dependence of random vectors, Measures of dependence through (sub-)copulas

Statistical Learning (Machine Learning): Discriminant analysis under closed skew normal settings

Publications

      Ziwei Ma, Tonghui Wang, Zheng Wei and Xiaonan Zhu: Inferences on location parameters based on independent multivariate skew normal distributions. Asian Journal of Economics and Banking, 2022.

      Xiaonan Zhu, Zheng Wei and Tonghui Wang: Multivariate skew normal based stochastic frontier models. Journal of Statistical Theory and Practice 16(20), 2022.

      Zheng Wei, Xiaonan Zhu and Tonghui Wang: The extended skew-normal-based stochastic frontier model with a solution to ‘wrong skewness’ problem. Statistics 55(6), 2021.

      Xiaonan Zhu, Tonghui Wang and Zheng Wei: Recent development on asymmetric association measure for contingency tables, In Direction dependence in statistical models: Methods of analysis. Hoboken, NJ: Wiley & Sons, 2020.

      Ziwei Ma, Tonghui Wang, Baokun Li, Xiaonan Zhu and Yuede Ma: The decomposition of quadratic forms under matrix variate skew-normal distribution, In Behavioral Predictive Modeling in Economics, pages 181–194. Springer International Publishing, 2020

      Xiaonan Zhu, Baokun Li, Tonghui Wang and Arjun K. Gupta: Sampling distributions associated with closed skew normal distributions, Random Operators and Stochastic Equations 27(2), Pages 75-87, 2019.

      Xiaonan Zhu, Qingsong Shan, Suttisak Wisadwongsa, and Tonghui Wang: Flexible constructions for bivariate copulas emphasizing local dependence. In Structural Changes and Their Econometric Modeling, pages 138–151. Springer International Publishing, 2019.

      Xiaonan Zhu, Baokun Li, Mixia Wu and Tonghui Wang: Plausibility regions on parameters of the skew normal distribution based on inferential models. In Predictive Econometrics and Big Data, pages 287–302. Springer International Publishing, 2018.

      Xiaonan Zhu, S. T. Boris Choy, Tonghui Wang and Kittawit Autchariyapanitkul: Measures of mutually complete dependence for discrete random vectors. In Predictive Econometrics and Big Data, pages 303-317. Springer International Publishing, 2018.

      Ziwei Ma, Xiaonan Zhu, Tonghui Wang, and Kittawit Autchariyapanitkul: Joint plausibility regions for parameters of skew normal family. In Predictive Econometrics and Big Data, pages 233-245. Springer International Publishing, 2018.

      Xiaonan Zhu, Ziwei Ma, Tonghui Wang and Teerawut Teetranont: Plausibility regions on the skewness parameter of skew normal distributions based on inferential models. In Robustness in Econometrics, pages 267–286. Springer International Publishing, 2017.

      Xiaonan Zhu, Tonghui Wang and Varith Pipitpojanakarn: Constructions of Multivariate Copulas. In Robustness in Econometrics, pages 249–265. Springer International Publishing, 2017.

      Xiaonan Zhu: A condition ensuring that hyperspace topological dynamical systems equipped with the hit-or-miss topology contain subsystems topologically conjugate to the two-sided symbolic dynamical system. Science Journal of Northwest University Online, 10(3), 2012.

Email: xzhu7@una.edu
Telephone: 256-765-4638
Office: Computing and Mathematics Building Office 332

Postal:
UNA Box 5051
快猫短视频
Florence AL, 35632