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冯三营

发布日期:2023-08-14     作者: admin     浏览数:    分享到:

冯三营

职称:教授

导师类别:硕士生导师

联系方式:fsy5801@zzu.edu.cn

 

 

研究方向:

非参数统计和复杂数据分析、变量选择、函数型数据分析、面板数据分析、测量误差和经验似然推断

个人简介:

冯三营,男,统计学博士,教授,硕士生导师,河南省高等学校青年骨干教师。2004年获得郑州大学数学与应用数学专业理学学士学位,2007年获得北京工业大学概率论与数理统计专业理学硕士学位,2015年获得北京工业大学统计学专业博士学位。20077月至20118月任职于洛阳师范学院数学科学学院。20157月起在郑州大学数学与统计学院从事教学科研工作。截至目前主持和参与国家级、省部级科研项目20余项,发表学术论文60余篇,其中SCI收录论文近40篇,出版学术专著《现代测量误差模型》1 (该书入选了科学出版社的现代数学基础丛书系列)。获评2017-2018学年郑州大学三育人先进个人,2019-2021年度郑州大学优秀共产党员。

讲授课程:

《应用回归分析》、《时间序列分析》、《抽样调查》、《非参数统计》、《计量经济学》

科研成果:

主持科研项目:

[1] 面板数据半参数固定效应模型的统计推断,国家自然科学基金青年基金项目,2016.1-2018.12

[2] 复杂函数型数据的半参数统计建模与应用研究,教育部人文社科项目,2021.8-2024.8

[3] 复杂函数型数据的统计建模与推断,河南省自然科学基金面上项目,2021.1-2022.12

[4] 高维数据半参数回归模型的适应性统计推断,河南省高校重点科研项目,2021.1-2023.12

[5] 大数据背景下半参数函数型数据交互效应模型的统计推断及其应用,全国统计科学研究项目,2019.10-2021.10

代表性论文:

[1] Feng Sanying, Kong Kaidi, Kong Yinfei, Li Gaorong, Wang Zhaoliang. Statistical inference of heterogeneous treatment effect based on single-index model. Computational Statistics and Data Analysis, 2022, 175: 107554.

[2] Feng Sanying, Zhang Menghan, Tong Tiejun. Variable selection for functional linear models with strong heredity constraint. Annals of the Institute of Statistical Mathematics, 2022, 74: 321-339.

[3] Zhao Yang, Feng Sanying. Robust estimation for partial linear single-index models. Journal of Nonparametric Statistics, 2022, 34: 228-249.

[4] Feng Sanying, Li Gaorong, Peng Heng, Tong Tiejun. Varying coefficient panel data model with interactive fixed effects. Statistica Sinica, 2021, 31(2): 935-957.  

[5] Feng Sanying, Tian Ping, Hu Yuping, Li Gaorong. Estimation in functional single-index varying coefficient model. Journal of Statistical Planning and Inference, 2021, 214: 62-75.

[6] Feng Sanying, He Wenqi, Li Feng. Model detection and estimation for varying coefficient panel data models with fixed effects. Computational Statistics and Data Analysis, 2020, 152: 107054.

[7] Feng Sanying, Li Gaorong, Tong Tiejun, Luo Shuanghua. Testing for heteroskedasticity in two-way fixed effects panel data models. Journal of Applied Statistics, 2020, 47(1): 91-116.

[8] Cheng Ming-Yen, Feng Sanying, Li Gaorong, Lian Heng. Greedy forward regression for variable screening. Australian & New Zealand Journal of Statistics, 2018, 60(1): 20-42.

[9] Zhao Jing, Feng Sanying, Cheng Weihu. Estimation in partially linear time-varying coefficients panel data models with fixed effects. Journal of the Korean Statistical Society, 2017, 46:267-284.

[10] Feng Sanying, Lian Heng, Xue Liugen. A new nested cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data. Computational Statistics and Data Analysis, 2016, 102: 98-109.  

[11] Feng Sanying, Lian Heng, Zhu Fukang. Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach. Computational Statistics and Data Analysis, 2016, 103: 139-150.  

[12] Feng Sanying, Xue Liugen. Partially functional linear varying coefficient model. Statistics, 2016, 50(4): 717-732.  

[13] Feng Sanying, Hu Yuping, Xue Liugen. Model detection and variable selection for varying coefficient models with longitudinal data. Acta Mathematica Sinica, English Series, 2016, 32(3): 331-351.

[14] Feng Sanying, Xue Liugen. Model detection and estimation for single-index varying coefficient model. Journal of Multivariate Analysis, 2015, 139: 227-244.  

[15] Lian Heng, Feng Sanying, Zhao Kaifeng. Parametric and semiparametric reduced-rank regression with flexible sparsity. Journal of Multivariate Analysis, 2015, 136: 163-174.

著作:

李高荣,张君,冯三营. 现代测量误差模型,科学出版社,2016.