职 称:副教授
研究方向:纵向(面板)数据分析;半参数模型;高维、海量大数据分析
教授课程:生存分析、探索性数据分析、非参数模型、商务统计、数据科学导论
E - mail:statbyang@mail.shufe.edu.cn;电话:65904624
序号 | 项目名称 | 项目编号 | 项目来源 | 起止时间 | 项目经费 |
1 | “高维数据下模型结构的识别与选择” | 15ZZ035 | 上海市教育委员会自然科学研究项目 | 2015-2017 | 8万 |
2 | “复杂经济数据的建模与应用” | 教育部创新团队项目 | 2014-2016 | ||
3 | “基于二次推断函数和经验似然的纵向数据半参数建模及应用” | 11001162 | 国家自然科学基金青年项目 | 2011-2013 | 16万 |
4 | “基于二次推断函数及经验似然的纵向数据半参数建模” | 无 | 上海高校选拔培养优秀青年教师科研专项基金 | 2011-2012 | 3万 |
5 | “纵向数据建模中几个新热点问题研究” | 11771268 | 国家自然科学基金常规面上项目 | 2018-2022 | 45万 |
纵向、面板数据(Longitudinal/Panel data)分析;半参数统计建模(Semiparametric modeling);大数据统计与挖掘(Big data mining)。
2009.9-2014.8 韦德官方网站,韦德官方网站,助教授
2014.9-至今 韦德官方网站,韦德官方网站,副教授
统计理论与方法研究成果:
24.Mengli Zhang, Lan Xue, Carmen D. Tekwe, Yang Bai and Annie Qu. Partially Functional Linear Quantile Regression with Measurement Errors. Statistica Sinica. 2023, 33:2257-2280.
23.刘高生, 柏杨,余平. 部分函数型线性空间自回归模型的假设检验. 数学学报, 2023, 66(2): 239-252.
22.Yuan Le, Yang Bai* and Guoyou Qin, Subgroup analysis of linear models with measurement error. Canadian Journal of Statistics. 2023, https://doi.org/10.1002/cjs.11763.
21.Yuan Le, Fan Zhou and Yang Bai, Reinforced mixture learning. Neural Networks. 2023, 165, 175-184.
20. Rongjie Jiang, Liming Wang and Yang Bai*, Optimal model averaging estimator for multinomial logit models. Statistical Theory and Related Fields. 2022, page 227-240.
19. Yang Bai, Rongjie Jiang and Mengli Zhang, Optimal model averaging estimator for expectile regressions. Journal of Statistical Planning and Inference. 2022, 217, 204-223.
18. Mengli Zhang and Yang Bai*, On the Use of Repeated Measurement Errors in Linear Regression Models. Metrika. 2021, 84, 779-803.
17. Guoying Xu and Bai, Yang*, Estimation of nonparametric additive models with high order spatial autoregressive errors. Canadian Journal of Statistics. 2021, 49(2),311-343.
16. Rongjie Jiang, Liming Wang and Bai, Yang*, Optimal model averaging estimator for semi-functionalpartially linear models. Metrika. 2021, 84, 167-194.
15. Gaosheng Liu and Yang Bai, Statistical inference in functional semiparametric spatial autoregressive model. AIMS Mathematics. 2021, 6(10), 10890-10906.
14. Yiming Tang, Yang Bai and Tao Huang, Network Vector Autoregression with Individual Effects. Metrika. 2021, 84, 875-893.
13. 徐群芳、刘高生、柏杨. 具有自相关误差结构的面板数据部分线性单指标模型的统计推断. 中国科学. 2019, 49(6), 1-30.
12. Qu, Qunfang and Bai, Yang, Semiparametric statistical inferences for longitudinal data with nonparametric covariance modeling. Statistics. 2017, 51(6), 1280-1303
11. Chen, Yuping, Bai, Yang and Fung, W. K., Structural Identication and Variable Selection in High-Dimensional Varying-Coefficient Models. Journal of Nonparametric Statistics. 2017, 29 (2), 258-279
10. Ma, Hai Qiang, Bai Yang and Zhu, Z. Y., Dynamic Single-index Model for Functional Data. Science China Math, 2016, 59 (12), 2561–2584
9. Bai, Yang, Hu, J. H. and You, J. H., Panel Data Varying-Coefficient Partially Linear Models with Both Spatially and Time-Wise Correlated Errors. Statistica Sinica, 2015, 25 (2), 507-528
8. Bai, Yang, Li, Rui, Huang, J. and You, J. H., Semiparametric Longitudinal Model with Irregular Time Autoregressive Error Process. Statistica Sinica, 2015, 25 (1), 275-294
7. Chen, Y. P. and Bai, Yang, Correlation Structure Selection for Longitudinal Data Based on Varying-Coefficient Model. Chinese Journal of Applied Probability and Statistics (Chinese Version). 2014, 30 (2), 181-194
6. Xu, Q. F. and Bai, Yang, Efficient Estimation of Varying Coefficient Seemly Unrelated Regression Model. Acta Mathematicae Applicatae Sinica, English Series, 2014, Vol. 30, No.1, 119-144.
5. Qin G. Y., Bai Yang, and Zhu Z. Y., Robust empirical likelihood inference for the parametric component in a generalized partial linear model with longitudinal data. Journal of Multivariate Analysis, 2012, 105 (1), 32-44.
4. Bai Yang, Fung W. K. and Zhu Z. Y., Weighted empirical likelihood for generalized linear models with longitudinal data. Journal of Statistical Planning and Inference, 2010, 140 (11), 3446-3456.
3. Qin G. Y., Bai Yang and Zhu Z. Y., Robust empirical likelihood for longitudinal data. Statistics and Probability Letters, 2009, 79 (20), 2101-2108.
2. Bai Yang, Fung W. K. and Zhu Z. Y., Penalized quadratic inference functions for single-index models with longitudinal data. Journal of Multivariate Analysis, 2009, 100 (1), 152-161.
1. Bai Yang, Zhu Z. Y. and Fung W. K., Partial linear models for longitudinal data based on quadratic inference functions. Scandinavian Journal of Statistics, 2008, 35 (1), 104-118.
应用研究成果:
1. Gan, H. C. and Bai, Yang, The effect of travel time variability on route choice decision: a generalized linear mixed model based analysis. Transportation, 2014, Vol. 41, 339-350.
2. Gan H. C., Bai Y., Wei, June , Why do people change routes? Impact of information services. Industrial Management & Data Systems, 2013, 113 (3), 403-422.
1. 教育部2014年度高等学校科学研究优秀成果奖二等奖(第二单位,第三完成人)
2. 2010-2011学年优秀教学三等奖
学术专业服务:
1、中国现场统计学会资源与环境统计分会常务理事,秘书长
2、多次为如下国际、国内期刊审稿:
Annals of Statistics,Biometrika,Statistica Sinica,Journal of Multivariate Analysis (JMVA), Annals of Institute of Statistical Mathematics (AISM), Computational Statistics and Data Analysis (CSDA), Journal of Korean Statistical Society(JKSS), 应用数学学报, 应用概率统计。
社会服务(兼职):
1、欧美同学会韦德官方网站分会副会长、秘书长;
2、上海市侨联青年总会理事
1.“High Dimensional Varying-Coefficient Models for Longitudinal Data with Covariates Measurement Errors and Missing Response”,invited speaker,1st International Conference on Econometrics and Statistics,June 13-18,2017,Hong Kong
2.“Sub-group Analysis of non-parametric regression functions with longitudinal data”,邀请报告,吉林大学2017年青年概率统计学者论坛会议,2017年4月14-16,吉林长春
3.“An improved estimator of linear model with repeated measurement erros”,邀请报告,中南财经政法大学2017年青年统计学家论坛会议,2017年3月24-25,武汉
4.“Structural Identification and Variable Selection in High-Dimensional Varying-Coefficient Models”,邀请报告,南开大学统计论坛,2016年11月11-12,天津
5.“Variable Selection in Modeling Longitudinal Data with Error-in-Variables and Dropouts”,邀请报告,2016华东师范大学魏宗舒青年统计学者研讨会,2016年5月21日至23日,华东师范大学,上海
6.“Structural Identification and Variable Selection in High-Dimensional Varying-Coefficient Models”,分会报告,2015年第九次全国生存分析和应用统计研讨会,2015年4月9日至11日,福建武夷学院,武夷山
7.“Semiparametric Longitudinal Model with Irregular Time Autoregressive Error Process”,Invited speaker, 2013 Youth Statistician Symposium in Dongnan University,Nanjing,China,September 18-19,2013
8.“Empirical likelihood and robust empirical likelihood inferences for longitudinal data”,中会报告,2011年统计与管理国际学术会议暨第五届资源与环境统计学会学术会议,2011年9月23日至25日,重庆理工大学,重庆
9.“Robust empirical likelihood inference for the parametric component in a generalized partial linear model with longitudinal data”,分会报告, 2010年中国概率统计学术年会,2010年10月21日至25日,南开大学,天津
10.“Penalized quadratic inference functions for single-index models with longitudinal data”,Contributed section,Joint Statistics Meeting 2008,Denver,USA,August 3-7 2008
11.“Partial linear models for longitudinal data”,Contributed section,7th World Congress in Probability and Statistics,National University of Singapore,Singapore,July 14-19 2008
12.“Modeling Longitudinal data with quadratic inference functions”,Contributed section,International Workshop on Scientific Computing-Models,Algorithm and Applications,University of Hong Kong,Hong Kong,August 13-25 2006