杨宜平，女，教授，硕士生导师,中国现场统计研究会大数据统计分会常务理事。2010年7月在北京工业大学应用数理学院获得概率论与数理统计专业博士学位。

主要研究方向：非参数统计和复杂数据分析、模型和变量选择、统计学习等。

学习经历

2007/09–2010/07  北京工业大学，概率论与数理统计专业，博士

2004/09–2007/07  北京工业大学，概率论与数理统计专业，硕士

2000/09–2004/07  三峡大学，数学与应用数学专业，学士

工作经历

2010/07–2011/12  重庆工商大学数学与统计学院，讲师

2012/01–2016/12  重庆工商大学数学与统计学院，副教授

2017/01–2025/07  重庆工商大学数学与统计学院，教授

2025/09–至今    南京财经大学经济学院，教授

专著

李高荣，杨宜平(2015). 纵向数据半参数模型. 北京：科学出版社.

论文

(1)Yang Yiping，Zhao Peixin.Variable selection in high-dimensional varying coefficient panel data models with fixed effects.Journal of Statistical Planning and Inference,in press.

(2)Yang Yiping, Li Jing, Duan Xiaogang, Li Gaorong. Composite quantile regression for high-dimensional linear mixed effects models.Journal of Statistical Computation and Simulation, 2025, 1-27.

(3)Yu Shenao, Zhao Xu,Yang Yiping*. Composite quantile regression estimation for varying coefficient panel data models with fixed effects based on auxiliary regression.Journal of Statistical Computation and Simulation, 2025,95(10): 2235–2258.

(4)Yang Yiping，Zhao Peixin，Zhang Jun.Orthogonality-projection-based penalized variable selection for high-dimensional partially linear models.Applied Mathematical Modelling,2025，138：115785,

(5)Yang Yiping,Zhao Peixin, Li Gaorong. Robust estimation and variable selection for partially linear panel data models with fixed effects.Communications in Mathematics and Statistics，2025,1-24.

(6)Yang Yiping,Luo Chuanqin, Yang Weiming.Double penalized variable selection for high-dimensional partial linear mixed effects models.Journal of Multivariate Analysis,2024, 204: 105345.

(7)Yang Yiping,Zou Jingjing,Zhao Xu,Zhao Peixin.The adaptive elastic net variable selection for linear mixed effects models based on the orthogonal projection. Communications in Statistics - Theory and Methods,2024,54(17): 5381–5405.

(8)杨宜平，赵培信，黄霞. 面板数据下带固定效应的线性回归模型的稳健变量选择.数理统计与管理, 2024, 43(1):50-57.

(9)He Ping,Yang Yiping*, Zhao Peixin.Robust estimation with exponential squared loss forpartially linear panel data model with fixed effects.Communications in Statistics-Theory and Methods,2024，53(15):5638-5656.

(10)Yang Yiping, Zhao Peixin, Wu Dongsheng. SIMEX estimation for quantile regression model with measurement error. Statistics and Its Interface, 2023,16: 545-552.

(11)HuZongliang,YangYiping*, LiGaorongand TongTiejun*.Regularized t distribution: definition, properties and applications.Scandinavian Journal of Statistics, 2023,50:1884-1900.

(12)杨宜平,林静怡，赵培信. 基于工具变量的变系数测量误差的分位数回归估计.系统科学与数学，2023，43(3): 797-811.

(13)ZhangJun,YangYiping*. Modal linear regression models with additive distortion measurement errors.Journal of Statistical Computation and Simulation,2022, 92(4): 847-874.

(14)ZhuXuehu, ZhangJun,YangYiping. Additive distortion measurement errors regression models with exponential calibration.Journal of Statistical Computation and Simulation, 2022,92(14): 3020-3044.

(15)Zhang Jun, Lin Bingqing,Yang Yiping. Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models.StatisticalPapers, 2022,63:885–918.

(16)ZhangJun, LiGaorong,YangYiping. Modal linear regression models with multiplicative distortion measurement errors.Statistical Analysis and Data Mining: The ASA Data Science Journal,2022,15 (1): 15-42.

(17)Yang Weiming,YangYiping*. Composite quantile regression estimation of linear error-in-variable models using instrumental variables.Metrika,2020, 83:1-16.

(18)杨宜平, 余鲁，吴东晟. 含测量误差的复合分位数回归的SIMEX估计.应用概率统计,2020,36(2): 111-121.

(19)Zhang Jun,Yang Yiping, Feng Sanying, Wei Zhenghong. Logarithmic calibration for partial linear models with multiplicative distortion measurement errors.Journal of Statistical Computation and Simulation,2020,90(10)：1875-1896.

(20)Zhao Peixin,YangYiping,ZhouXiaoshuang.Empirical likelihood based estimation for a class of functional coefficient ARCH-M models.Communications in Statistics-Theory and Methods,2020,49 (5): 1217-1231.

(21)王诗芸,赵培信,杨宜平.基于模态回归的纵向部分线性模型的有效稳健估计.系统科学与数学,2020,40(12):2459-2473.

(22)Zhang Jun,YangYiping, Gaorong Li. Logarithmic calibration for multiplicative distortion measurement errors regression models.Statistica Neerlandica,2020,74(4): 462-488.

(23)Yang Yiping, Tong Tiejun, Li Gaorong. SIMEX estimation for single-index model with covariate measurement error.ASTA-Advances in Statistical Analysis, 2019, 103: 137-161.

(24)Zhao Peixin,Yang Yiping. A new orthogonality-based estimation for varying-coefficient partially linear models.Journal of the Korean Statistical Society, 2019, 48(1): 29-39.

(25)Yang Yiping, Chen Lifang, Zhao Peixin. Empirical likelihood inference in partially linear single-index models with endogenous covariates.Communications in Statistics - Theory and Methods, 2017, 46(7): 3297-3307.

(26)Yang Yiping, Li Gaorong,Lian Heng. Nonconcave penalized estimation for partially linear models with longitudinal data.Statistics, 2016, 50(1): 43-59.

(27)Zhou Yousheng,Yang Yiping, Han Jian, Zhao Peixin. Estimation for partially linear single-index instrumental variables models.Communications in Statistics -Simulation and Computation, 2016, 45:3629-3642.

(28)杨宜平,程维虎,杨振海. 一种新的聚类分析方法——自然聚类法.系统科学与数学, 2016, 5(36): 698-711.

(29)Yang Yiping, Li Gaorong and Tong Tiejun. Corrected empirical likelihood for a class of generalized linear measurement error models,Science China Mathematics, 2015, 58(7): 1523-1536.

(30)Zhao Peixin,Yang Yiping. Semiparametric empirical likelihood tests in varying coefficient partially linear models with repeated measurements.Statistical Methodology, 2015, 23: 73-87.

(31)Guo Xu, Niu Cuizhen,Yang Yiping, Xu Wangli. Empirical likelihood for single index model with missing covariates at random.Statistics, 2015, 49(3): 500-601.

(32)Yang Yiping, Li Gaorong,Peng Heng. Empirical likelihood of varying coefficient errors-in-variables models with longitudinal data.Journal of Multivariate Analysis, 2014, 127: 1-18.

(33)杨宜平.协变量随机缺失下部分线性模型的变量选择.工程数学学报，2014,31(1)：139-151.

(34)杨宜平, 李佳. 纵向数据下变系数EV模型的光滑核估计.应用概率统计，2013, 29(2)：167-168.

(35)Yang Yiping，Xue Liugen, Cheng Weihu. Variable selection in the partially linear errors-in-variables models for longitudinal data.Acta Mathematicae Applicatae Sinica, 2012, 28(4): 769-780.

(36)Yang Yiping，Xue Liugen, Cheng Weihu. An Empirical Likelihood Method in a Partially Linear Single-index Model with Right Censored Data，Acta Mathematica Sinica, English Series，2012，28(5):1041-1060.

(37)杨宜平, 薛留根, 程维虎. 删失数据下单指标模型的经验似然推断.数学物理学报，2012, 32(2): 297-311.

(38)Yang Yiping，Xue Liugen, Cheng Weihu. Two-step estimators in partial linear models with missing response variables and error-prone covariates.Journal of Systems Science and Complexity，2011，24:1165-1182.

(39)Yang Yiping，Xue Liugen, Cheng Weihu. The empirical likelihood goodness-of-fit test for regression model with randomly censored data.Communications in Statistics -Theory and Methods, 2011, 40: 424-435.

(40)杨宜平. 协变量随机缺失下线性模型的经验似然推断及其应用.数理统计与管理，2011，30（4）：655-663.

(41)杨宜平，薛留根. 高维部分线性模型的变量选择和估计.应用概率统计, 2011, 27(2): 172-182.

(42)杨宜平，薛留根，程维虎. 纵向数据下部分线性EV模型的变量选择，工程数学学报，2011,02： 211-219.

(43)Yang Yiping，Xue Liugen, Cheng Weihu. Variable selection for partially linear models with randomly censored data.Communications in Statistics -Simulation and Computation, 2010, 39：1577-1589.

(44)杨宜平，薛留根，程维虎. 响应变量存在缺失时部分线性模型的经验似然推断.高校应用数学学报, 2010, 25(1): 43-52.

(45)Yang Yiping，Xue Liu Gen, Cheng Weihu. Empirical likelihood for a partially linear model with covariate data missing at random.Journal of Statistical Planning and Inference, 2009，139, 4143-4153.

科研项目

1.重庆市自然科学基金面上项目，“高维混合效应模型的稳健统计分析及其应用”，2021/10-2024/09，主持

2.重庆市社会科学规划一般项目，“面板数据模型的稳健统计分析及其应用”，2020/01-2022/12，主持

3.重庆市教委一般项目,“纵向数据下含内生变量的半参数模型的统计推断及其应用”，2015/07-2017/10，主持

4.重庆市自然科学基金一般项目，“半参数混合效应模型的分位数回归及其应用”，2015/08-2018/07，主持

5.国家自然科学基金青年项目，“半参数工具变量模型的统计方法、理论及其应用”，2014/01-2016/12，主持

6.重庆市教委一般项目，“计量经济学中半参数模型的变量选择”，2011/01-2012/12，主持

7.重庆市自然科学基金一般项目，“复杂数据半参数回归模型的统计方法与应用研究”，2011/08-2014/07，主持

8.国家自然科学基金天元基金，“不完全数据半参数回归模型的统计分析及其应用”，2012/01-2012/12，主持

9.国家社科基金青年项目,“计量经济学中半参数模型的复杂数据统计推断及应用研究”，2011/07-2013/12，主持

通讯地址：江苏省南京市仙林大学城文苑路3号

办公室：德经楼227室

Email：yeepingyang@foxmail.com