师资队伍

基本信息

姓名:唐炎林

部门:概率与统计

职称:副教授

E-mail:tangyl@tongji.edu.cn

研究方向:

高维数据的统计推断、分位数回归、删失数据研究

教育背景:
  1. 2012年1月博士毕业于复旦大学统计学系(导师:朱仲义教授)
工作经历:

2016.12至今,同济大学数学科学学院,副教授
2012.5-2016.12,同济大学数学系(2016年7月改名为数学科学学院),讲师

研究经历:

  1. 2015.9-2017.8,公派博士后,美国乔治华盛顿大学统计系(合作导师:王会霞(Huixia Judy Wang)教授)
  2. 2014.8,访问新加坡国立大学工业工程系,叶志盛教授
  3. 2011.5-8,2012.1-2,7-8,2015.7-8,访问香港中文大学统计系 (研究助理、副研究员),宋心远教授
  4. 2010.1-2,访问美国北卡州立大学统计系,王会霞(Huixia Judy Wang)教授
  5. 2009.10-2010.09,联合培养,美国伊利诺伊大学香槟分校,何旭铭(Xuming He)教授
论文与出版物:
  1. Hailin Huang, Yuanzhang Li, Hua Liang, Yanlin Tang. Estimation of single-index models with fixed censored responses. Statistica Sinica, accepted.
  2. Yanlin Tang, Huixia Judy Wang, Emre Barut (2018). Testing the presence of significant covariates through conditional marginal regression. Biometrika, 105(1), 57-71.
  3. Yali Fan, Yanlin Tang and Zhongyi Zhu. (2018). Variable selection in censored quantile regression with high dimensional data. Science China-Mathematics, 61(4):641-658.
  4. Yanlin Tang, Huixia Judy Wang, Hua Liang (2017+). Composite estimation for single-index models with responses subject to detection limits. Scandinavian Journal of Statistics, online, DOI: 10.1111/sjos.12307
  5. Zhongfang Liu, Yanlin Tang, Zhimin Jian, Christopher Poulsen, Jeffrey Welker and Gabriel Bowen. (2017). Pacific North American circulation pattern links external forcing and North American hydroclimatic change over the past millennium. Proceedings of the National Academy of Sciences of the United States of America, 114(13), 3340-3345
  6. Nan Chen, Yanlin Tang, Zhisheng Ye. (2016). Robust quantile analysis for accelerated life test data. IEEE Transactions on Reliability, 65(2), 901-913
  7. Yinfeng Wang, Yanlin Tang and Xinsheng Zhang. (2016). CGMM LASSO-type estimator for the process of Ornstein–Uhlenbeck type. Journal of the Korean Statistical Society, 45, 114-122
  8. Yanlin Tang and Huixia Judy Wang. (2015). Penalized regression across multiple quantiles under random censoring. Journal of Multivariate Analysis, 141, 132-146
  9. Yanlin Tang, Yinfeng Wang, Jingru Li, Weimin Qian. (2015). Improve estimation efficiency in quantile regression with longitudinal data. Journal of Statistical Planning and Inference, 165, 38-55
  10. Yanlin Tang, Xinyuan Song and Zhongyi Zhu. (2015). Threshold effect test in censored quantile regression. Statistics & Probability Letters, 105, 149-156
  11. Mi Zhou, Huixia Judy Wang, and Yanlin Tang. (2015). Sequential change point detection in linear quantile regression models. Statistics & Probability Letters, 100, 98-103
  12. Yanlin Tang, Xinyuan Song and Zhongyi Zhu. (2015). Variable selection via composite quantile regression with dependent errors. Statistica Neerlandica, 69, 1-20
  13. Yinfeng Wang, Yanlin Tang, Xinsheng Zhang. (2015). Estimation of parameters of the Ornstein-
    Uhlenbeck type processes with continuum of moment conditions. Communications in Statistics-Theory and Methods, 44, 5189–5203
  14. Yanlin Tang, Liya Xiang, Zhongyi Zhu. (2014). Risk factor selection in rate-making: EM-adaptive LASSO for zero-inflated Poisson regression models. Risk Analysis, 34, 1112-1127
  15. Yanlin Tang, Xinyuan Song, Huixia Judy Wang, Zhongyi Zhu. (2013). Variable selection in high-dimensional quantile varying coefficient models.  Journal of Multivariate Analysis, 122, 115-132
  16. Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu. (2013). Variable selection in quantile varying coefficient models with longitudinal data. Computational Statistics and Data Analysis, 57, 435-449
  17. Yanlin Tang, Huixia Judy Wang, Xuming He, Zhongyi Zhu. (2012). An informative subset-based estimator for censored quantile regression. Test, 21, 635-655
  18. Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu, Xinyuan Song. (2012). A unified variable selection approach for varying coefficient models.  Statistica Sinica, 22, 601-628

 

Working Manuscript:

  1. Yanlin Tang, Huixia Judy Wang, Ying Sun, Amanda Hering. Copula-based Semiparametric Models for Spatio-Temporal Data. Under revision
  2. Fuyuan Li, Yanlin Tang, Huixia Judy Wang. Copula-based Semiparametric Analysis for  Time Series Data with Detection Limits. Under revision.
  3. Zhikun Gao, Yanlin Tang, Huixia Judy Wang, Guangying Wu, Jeff Lin. Automatic Shape-constrained Nonparametric Regression With Applications to Ultrasonic Vocalization. Under review.
  4. Hailin Huang, Yuanzhang Li, Hua Liang, Yanlin Tang. Estimation in  Additive Models with Fixed Censored Responses. Under review.
  5. Fangzheng Lin, Yanlin Tang, Zhongyi Zhu. Efficient estimation in nonparametric quantile regression model with longitudinal data. Under review.
科研项目:
  1. 2019.01-2022.12, 项目负责人,高维纵向数据分位数回归中的统计推断研究,国家自然科学基金面上项目,11871376
  2. 2018.07-2020.06, 项目负责人,高维分位数回归模型的统计推断及应用,上海市浦江人才计划,18PJ1409800 
  3. 2018.04-2018.12, 项目负责人,异构参数分位数回归分析,东北师范大学重点实验室开放课题
  4. 2017.09-2018.11, 项目负责人,高维分位数回归模型的统计推断研究,同济大学基础研究能力提升计划
  5. 2014.01-2016.12, 项目负责人,面板数据分位数回归中的模型选择问题研究,国家自然科学基金青年项目,11301391
  6. 2013.01-2015.12, 项目负责人,面板数据分位数回归中的变量选择问题研究,同济大学青年优秀人才培养行动计划
获奖荣誉:

 第十一届全国统计科研成果奖博士论文类 二等奖 (2012)
 上海市优秀博士论文 (2013)
 同济大学数学系青年教师讲课比赛二等奖(2014,2015)

教授课程:

       抽样调查(本)、多元统计分析(本)、回归分析(研)、概率统计(本)、Introduction to Econometrics(全英,研)、Probability & Mathematical Statistics(全英,中意学院,本)、工程数学(工研)、应用统计(工研)、数学模型(本)
会议:

 

1. 2018 ICSA China Conference, 青岛(2018.7.2-7.5),邀请报告,“Composite Estimation for Single-Index Models with Responses Subject to Detection Limits”

2. 2nd International Conference on Econometrics and Statistics,HongKong, (2018.6.19-6.21),Session organized: Statistical inference in high dimensional quantile regression (EO160)

3. 杭州国际数据科学会议,邀请报告 (2018.5.18-5.20),``Testing the presence of significant covariates through conditional marginal regression"
4. 现场统计协会高维数据分会,邀请报告 (2018.4.20-4.22), ``Testing the presence of significant covariates through conditional marginal regression"

5. 2017年复旦大学数据科学国际会议,邀请报告(2017.12.17-12.19),“Copula-based Semiparametric Models for Spatio-Temporal Data”

6. 上海交通大学数学科学学院,邀请报告(2017.12.15),“Composite Estimation for Single-Index Models with Responses Subject to Detection Limits”

7. 2017年厦门大学青年统计学者论坛,邀请报告(2017.12.8-12.10),“Composite Estimation for Single-Index Models with Responses Subject to Detection Limits”

8. 2017年中国人民大学青年统计学者论坛,邀请报告(2017.10.19-10.21), “Testing the presence of significant covariates through conditional marginal regression”

9. The 25th ICSA Applied Statistics Symposium (2016.6.12-6.15), Atlanta, contributed talk, Testing the presence of significant covariates through conditional marginal regression

10. 2015年IMS-China概率统计学术研讨会,邀请报告(2015.7.1-7.4),"Improve estimation efficiency in quantile regression with longitudinal data"

11. 上海财经大学“大数据统计科学中心”揭牌仪式暨大数据统计研讨会(2015.3.28-3.29),"Improve estimation efficiency in quantile regression with longitudinal data"

12. The 59th World Statistics Congress  (2013.8.27-8.30), HongKong, invited talk "Variable selection in high-dimensional quantile varying coefficient models"

匿名审稿人:

  1. The Annals of Statistics, Journal of American Statistical Association
  2. Biometrics, Technometrics, Statistica Sinica, Journal of Multivariate Analysis
  3. Computational Statistics and Data Analysis, Canadian Journal of Statistics, Journal of Nonparametric Statistics, Statistics and Probability Letters, Communications in Statistics-T&M, Science China-Mathematics, 应用数学学报, 应用概率统计
  4. Environmetrics

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