个人信息![]() |
姓名: 杨广仁 部门: 经济学院 性别: 男 职务: 副院长 职称: 教授 学位: 博士 毕业院校: 上海财经大学 联系电话: 电子邮箱: tygr@jnu.edu.cn 办公地址: 通讯地址: 邮编: 传真: 荣誉奖励: |
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个人简介杨广仁,博士,教授,硕士生导师,博士生导师,博士后合作导师,博士毕业于上海财经大学,博士后于美国宾夕法尼亚州立大学,工作于点点手机版app经济学院统计学系,民进暨大基层委副主委,广东省民进经济委委员,主要从事高维数据的统计推断,超高维数据变量筛选和大数据的理论与算法研究.主持国家社科基金2项,国家统计局重大项目2项,并以排名第一参与3项国家自然科学基金,主持广东省自然科学基金面上项目1项等.科研成果发表在《Biometrika》,《EconometricsThoery》,《Statistica Sinica》,《Statistical Science》,《Computational Statistics and Data Analysis》,《Test》,《Journal of Multivariate Analysis》等顶级和一类国际主流权威的统计学期刊发表30多篇. 学习经历工作经历2019.01-2019.03, 香港大学统计与精算系. 2016.02-2018.02, 美国宾夕法尼亚立大学统计学系(博士后). 2016.01-2016.01, 新加坡国立大学统计与应用概率系. 2015.08-2015.08, 香港科技大学统计研究中心. 2014.12-2014.12, 香港科技大学统计研究中心. 2014.11-2014.11, 澳门大学数学系. 2014.08-2014.08, 香港科技大学统计研究中心. 2013.09-2013.11, 香港科技大学数学系. 2013.05-2013.07, 香港中文大学统计学系. 研究方向高维数据的统计推断 超高维数据的变量筛选 半参数回归模型 主要论文接收/发表论文(其中带有*标志的为通讯作者), 2014年1月--至今. Zhang, X, Yang, G.* and Zhang, X. (2025) Model averaging by jackknife criterion of varying-coefficient models for estimating heterogeneous causal effects. Journal of the Korean Statistical Society, (doi:10.1007/s42952-025-00333-3) Wei, Y., Yang, G., Chen, Z. and Zhang, X. (2025) Model averaging for treatment effect estimation with heterogeneity and heteroscedasticity. Econometric Theory, (doi:10.1017/S0266466625100029) Kong, J., Liu, Y., Yang, G.* and Zhou, W. (2025) Conformal Prediction for Robust Deep Nonparametric Regression. Statistical Papers, (doi:10.1007/s00362-024-01631-4) Dai, L., Liu, P. Liu, Y. and Yang, G.* (2025) The quantile-based empirical likelihood for the difference of quantiles. Statistical and Probablity Letters, 216, 1-7. Liu, Y., Pan,G., Yang, G.* and Zhou, W. (2024) Nonparametric conditional mean testing via an extreme-type statistic in high dimension. Scandinavian Journal of Statistics, 51, 801-831. Zhao, S., Xie, T., Ai, X., Yang, G.*, and Zhang, X. (2023) Correcting Sample Selection Bias with Model Averaging for Consumer Demand Forecasting. Economic Modelling, 106275, 1--8. Yang, G., Xu, L., Xiang, S. and Yao, W. (2022) Robust Estimation and Outlier Detection for Varying Coefficient Models via Penalized Regression. Communications in Statistics - Simulation and Computation, 51(10), 5845--5856. Yang, G., Lin, H. and Lian, H. (2021) Optimal Prediction for High-dimensional Functional Quantile Regression in Reproducing Kernel Hilbert Spaces. Journal of Complexity, 66, 1--13. Yang, G., Lin, H. and Lian, H. (2021) Minimax rate in prediction for functional principal component regression. Communications in Statistics - Theory and Methods, 50(5), 1240--1249. Yang, G., Wang, Q., Cui, X. and Ma, Y. (2020) Generalized Partially Linear Single Index Model with Measurement Error, Instruments and Binary Response. Brazilian Journal of Probability and Statistics, 34(4), 770-794. Cui, X., Li, R., Yang, G.* and Zhou, W. (2020) Empirical likelihood test for large dimensional mean vector. Biometrika, 107(3), 591-607. Wang, Q., Ma, Y. and Yang, G.* (2020) Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function. Test, 29(2), 553--572. Yu, C., Yao, W. and Yang, G.* (2020) A Selective Overview and Comparison of Robust Mixture Regression Estimators. International Statistical Review, 88(1), 176--202. Yang, G., Yang, S. and Li, R. (2020) Feature Selection in Ultrahigh Dimensional Generalized Varying-coefficient Models. Statistica Sinica, 30(2), 1049--1067. Xiang, S., Yao, W. and Yang, G. (2019) An Overview of Semiparametric Extensions of Finite Mixture Models. Statistical Science, 34(3), 391--404. Yang, G., Yang, S. and Zhou, W. (2019) Adjacency Matrix Comparison for Stochastic Block Models. Random Matrices: Theory and Applications, 8, 1--8. Wichitchan, S., Yao, W. and Yang, G.* (2019) A Simple Root Selection Method For Finite Normal Mixture Models. Communications in Statistics - Theory and Methods, 48, 3778--3794. Yang, G., Lin, H. and Lian, H. (2019) Double-index Dimension Reduction for Partially Functional Data. Journal of Nonparametric Statistics, 31, 761--768. Li, D., Ling, S., Tong, H. and Yang, G. (2019) On Brownian Motion Approximation of Compound Poisson Processes with Applications to Threshold Models. Advances in Decision Sciences, 23, 1--27. Yang, G., Liu, Y. and Pan, G. (2019). Weighted Covariance Matrix Estimation. Computational Statistics and Data Analysis, 139, 82--98. Yang, G. and Cui, X. (2019) Trimmed Estimators for Large Dimensional Sparse Covariance Matrices. Random Matrices: Theory and Applications, 8, 1--14. Wichitchan, S., Yao, W. and Yang, G.* (2019) Hypothesis Testing for Finite Normal Mixture Models. Computational Statistics and Data Analysis, 132, 180--189. Yang, G.*, Zhang, L., Li, R. and Huang, Y. (2019) Feature Selection in Ultrahigh Dimensional Varying Coefficient Cox's Model. Journal of Multivariate Analysis, 171, 284--297. Zhao, S., Zhou, J. and Yang, G.* (2019) Averaging Estimators for Discrete Choice by $M$-fold Cross-Validation. Economics Letters, 174, 65--69. Yang, G., Xiang, S. and Yao, W. (2019) Sure Independent Screening in Ultrahigh Dimensional Generalized Additive Models. Journal of Statistical Planning and Inference, 199, 126--135. Jing, B., Yang, G.*, Yu, X. and Zhang, C. (2018) Fused MCP with Application in Signal Processing. Journal of Computational and Graphical Statistics, 27, 872--886. Li, R., Ren, J., Yang, G.* and Yu, Y. (2018) Asymptotic Behavior of Cox's Partial Likelihood and its Application to Variable Selection. Statistica Sinica, 28, 2713--2732. Sun, Y.*, Qi, L, Yang, G. and Peter B.Gilbert (2018) Hypothesis Tests for Stratified Mark-Specific Proportional Hazards Models with Missing Covariates with Application to HIV Vaccine Efficacy Trials. Biometrical Journal, 60, 516--536. Yang, G.*, Hou, S., Wang, L. and Sun, Y. (2018) Feature Screening in Ultrahigh Dimensional Additive Cox Model. Journal of Statistical Computation and Simulation, 88, 1117--1133. Yang, G., Sun, Y.*, Qi, L. and Peter B. Gilbert (2017) Estimation of Stratified Mark-Specific Proportional Hazards Models with Two-Phase Sampling of Covariates with Application to HIV Vaccine Efficacy Trials. Statistics in Bioscience, 9, 259--283. Yang, G., Sun, Y. and Cui, X.* (2017) Automatic Structure Discovery for Varying-coefficient Partially Linear Models. Communications in Statistics - Theory and Methods, 46, 7703--7716. Yang, G., Cui, X.* and Hou, S.(2017) Empirical likelihood confidence regions in the single index model with growing dimensions. Communications in Statistics - Theory and Methods, 46, 7562--7579. Cui, X.*, Guo, J. and Yang, G. (2017) On the Identiability and Estimation of Generalized Linear Models with Parametric Nonignorable Missing Data Mechanism. Computational Statistics and Data Analysis, 107, 64-80. Yang, G., Yu, Y., Li, R.* and Buu, A. (2016) Feature Screening in Ultrahigh Dimensional Cox's Model. Statistica Sinica, 26, 881-901. Zhang, Y. and Yang, G.* (2015) Estimation of Partially Specified Spatial Panel Data Models with Random-Effects. Acta Mathematica Sinica, 31, 456-478. Zhang, Y. and Yang, G.* (2015) Statistical Inference of Partially Spatial Autoregressive Model. Acta Mathematicae Applicatae Sinica, 31, 1-16. Yang, G., Huang, J. and Zhou, Y.* (2014) Concave Group Methods for Variable Selection and Estimation in High-Dimensional Varying Coefficient Models. Science in China Series A: Mathematics, 57, 2073-2090. Yang, G. and Zhou, Y.* (2014) Semiparametric Varying-coefficient Study of Mean Residual Life Models. Journal of Multivariate Analysis, 128, 226--238. 主要著作承担课题2025.2--2025.9,东莞市消费对经济增长的影响测度研究. 2025.2--2025.9,东莞市投资对经济增长的影响测度研究. 2025.3--2025.9,广东新发展格局的构建与测度研究,广东省统计局,项目编号:GD5JP02. 2024.9--2028.8,若干统计模型平均的因果推断及其应用研究,国家社会科学基金一般项目(NSSFC),项目编号:24BTJ070. 2024.1--2024.12,大食物观统计监测研究,国家统计局佛山调查队(主持,横向课题,结题). 2024.1--2024.6,需求为导向的政务服务有效供给研究---政务服务数据在泛公共服务领域中的影响因素及发展路径,广东政务服务和数据管理局(主持,横向课题,结题). 2023.7--2023.12,国际视野下粤港澳大湾区PPP方法测度及ICP应用研究,广东省统计局(主持,横向课题,结题). 2022.8-2022.12,党建业务融合度体系构建与测算方法研究,国家统计局(重大)统计专项,项目编号:2022ZX7,(主持,结题). 2022.3-2022.9,双转型背景下广东劳动力供求趋势预测研究,广州调查队,(主持,横向课题,结题). 2021.5-2021.8, 双循环税收指数的编制与应用研究,(主持,横向课题,结题). 2021.3-2021.8,广州港通讯调度指挥中心港口效率指标分析,(主持,横向课题,结题). 2019.6-2022.5,不可忽略缺失数据若干统计模型的稳健估计,广东省自然科学基金面上项目(Guangdong NSFC),项目编号:2019A1515010721(主持,结题) 2019.6-2023.5,高维删失数据的统计推断及其应用,点点手机版app宁静致远远航计划,项目编号:19JNYH08(主持,在研). 2016.6-2020.6,若干超高维统计模型的联合特征筛选及其应用,国家社会科学基金一般项目(NSSFC),项目编号:16BTJ032,(主持,结题). 2015.11-2017.12,若干超高维变系数模型的联合特征筛选及其应用,国家统计局统计科学研究所(重大项目),项目编号:2015LD02,(主持,结题). 2019.3-2019.6,珠江口港口效率评价指标体系研究,广州港通讯调度指挥中心,项目编号:45019038(主持,横向课题,结题). 2016.01-2017.12,若干高维删失数据统计模型的联合特征筛选,广东高校省级重点平台和重大科研项目(社科),项目编号:2016WTSCX007,(主持,结题) 2016.1-2018.12,基于大数据决策研究的饲料近红外快速检测信息平台研发,广州市产学研协同创新重大专项(粤港合作),项目编号:33116032(主持子课题,结题). 2015.7-2015.11,广州市天河区地方税收增长态势分析及预测,广州市天河区地方税务局,项目编号:45015201(主持,横向课题,结题). 2015.1-2017.12,若干超高维删失数据统计模型的联合特征筛选及其应用研究,点点手机版app科研培育与创新基金-启明星计划,项目编号:15JNQM019,(主持,结题). 发明专利讲授课程荣誉奖励社会职务 |