陈志勇
博士，讲师，中共党员。
研究方向：非参数及半参数统计、潜变量模型、统计计算、极限理论。
Email：zychen1024@163.com
教育经历
2014.09—2018.06，厦门大学，数学科学学院，博士
2011.09—2014.06，安徽大学，数学科学学院，硕士
2007.09­—2011.06，集美大学，理学院，学士
工作经历
2018.08—至今，福建师范大学，数学与信息学院
任教课程
概率论与数理统计、多元统计分析、贝叶斯统计、线性模型等。
科研项目
参与2项国家自然科学基金、2项安徽省自然科学基金等。
发表的部分文章

[8]Chen Zhi-Yong, Wang H-B. Latent single-index models for ordinal data. Statistics and Computing, (2018) 28: 699-711.
[7]Wang X. J., Chen ZhiYong, Xiao R., Xie X.J. Complete moment convergence for weighted sums of negatively orthant dependent random variables.Filomat, (2017) 31(5): 1195-1206.
[6]Chen Zhiyong, Wang H.B, Wang X.J. The consistency for estimator of nonparametric regression model based on martingale difference error. Statistical Papers,(2016) 57: 451-469.
[5]Chen Zhiyong, Wang H.B, Wang X.J and Hu S.H. Strong convergence for weighed sums of negatively superadditive dependent random variables. Kybernetika, (2016) 52: 52-65.
[4]Chen ZhiYong, Liu T. T., Ling J. M., Wang X. J. On the convergence rate for arrays of rowwise NOD random variables. Communications in Statistics - Theory and Methods, (2016)45(5): 1215-1223.
[3]Chen ZhiYong, Wang X. J., Hu S. H. Strong laws of large numbers for weighted sums of asymptotically almost negative associated random variables.RACSAM, (2015) 109: 135-152.
[2]Wang X. J., Shen A. T., Chen ZhiYong, Hu S. H. Complete convergence for weighted sums of NSD random variables and its application in the EV regression model.TEST, (2015) 24: 166-184.
[1]Chen ZhiYong, Hu S. H., Ling J. M., Wang X. J. Strong convergence properties and strong stability for weighted sums of AANA random variables. Abstract and Applied Analysis, 2013, ID 295041.