姓名：冯三营

职务/职称：统计系主任/教授

研究领域：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、统计学习

邮箱：fsy5801@zzu.edu.cn

 

简要经历

冯三营，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，全国工业统计学教学研究会理事，中国现场统计研究会多元分析应用专业委员会理事，河南省应用统计学会常务理事。

工作经历：

2023.04-至今，   郑州大学，数学与统计学院，教授

2017.04-2023.03，郑州大学，数学与统计学院，副教授

2015.07-2017.03，郑州大学，数学与统计学院，讲师

2007.07-2011.08，洛阳师范学院，数学科学学院，助教、讲师

教育经历：

2011.09-2015.07, 北京工业大学，统计学，博士

2004.09-2007.07，北京工业大学，概率论与数理统计，硕士

2000.09-2004.07，郑州大学，数学与应用数学，本科

 

主要项目

[1] 高维函数型回归模型的稳健统计推断及应用研究，国家社科基金一般项目，2023.10-2026.10，主持

[2] 面板数据半参数固定效应模型的统计推断，国家自科基金青年基金项目，2016.1-2018.12，主持

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

[4] 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，2021.1-2023.12，主持

[5] 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，主持

 

奖励

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

 

论著

现代测量误差模型，科学出版社，2016.

 

 

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.