唐炎林




个人资料
部门： 经济与管理学部
性别： 男
专业技术职务： 研究员
毕业院校： 复旦大学
学位： 博士
学历： 博士研究生
联系电话：
电子邮箱： yltang@fem.ecnu.edu.cn
办公地址： 中北校区理科大楼A1705
通讯地址： 上海市普陀区中山北路3663号，华东师范大学统计学院
邮编： 200062
传真：


工作经历
2019.1-至今，华东师范大学经济与管理学部统计学院，研究员
2017.1-2018.12，同济大学数学科学学院，副教授
2012.5-2016.12，同济大学数学系，讲师

海外经历：
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）
2014.8，访问新加坡国立大学工业工程系，叶志盛教授
2011.5-8，2012.1-2,7-8，2015.7-8，2018.7-8, 2019.7-8 , 2020.1-2访问香港中文大学统计系 (研究助理、副研究员)，宋心远教授
2010.1-2，访问美国北卡州立大学统计系，王会霞(Huixia Judy Wang)教授
2009.10-2010.9，联合培养，美国伊利诺伊大学香槟分校，何旭铭(Xuming He)教授




教育经历
2008.9-2012.1 硕博连读（博士阶段），复旦大学统计学系（导师：朱仲义教授）
2006.9-2008.8 硕博连读（硕士阶段），复旦大学数学科学学院（导师：应坚刚教授）
2002.9-2006.7 本科，同济大学数学系
1999.9-2002.7 高中，浙江省春晖中学






个人简介
唐炎林，华东师范大学统计学院研究员。2012年1月于复旦大学统计系获得博士学位，师从朱仲义教授。2012年5月起在同济大学数学系工作，历任讲师、副教授，2019年1月加入华东师范大学统计学院。读博期间曾于UIUC何旭铭教授处联合培养一年，2015-2017在GWU进行为期两年的公派博士后研究（合作导师：王会霞教授），2011-2020期间曾多次访问香港中文大学宋心远教授。主要研究方向为分位数回归、高维数据统计推断、删失数据，在Biometrika、PNAS、Statistica Sinica、Biometrics等SCI期刊发表论文二十余篇，目前担任Journal of Korean Statistical Society的AE。



社会兼职
Associate Editor：Journal of Korean Statistical Society (2020.1-2022.12)

Reviewer：
The Annals of Statistics, Journal of American Statistical Association, Technometrics, Statistica Sinica, Scandinavian Journal of Statistics, Journal of Statistical Planning and Inference, Canadian Journal of Statistics, Statistics & Probability Letters, Communications in Statistics–Theory and Methods, Statistical Computing, Journal of Nonparametric Statistics, Science China Mathematics, Journal of Korean Statistical Society, Statistics and Its Inference, Journal of Statistical Computation and Simulation, Econometrics and Statistics, Environmetrics, 中国科学（中文）、应用概率统计



研究方向
分位数回归、高维统计推断、复杂数据




开授课程
博士：非参数统计
硕士：多元统计分析
本科：现代统计方法选讲



科研项目
2019.01-2022.12 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，**
2014.01-2016.12 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，**

2018.07-2020.06 高维分位数回归模型的统计推断及应用，上海

2020.07-2022.06 分位数回归在复杂数据中的若干问题研究，华东师范大学统计与数据科学前沿理论及应用教育部重点实验室，自主研究课题

2018.04-2018.12 异构参数分位数回归分析，东北师范大学应用统计教育部重点实验室，开放课题




学术成果
Under review：

5 Fangzheng Lin, Yanlin Tang, Huichen Zhu, Zhongyi Zhu.Spatially clustered varying coefficient model.
4 Yanlin Tang, Xinyuan Song, Grace Yun Yi.Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes.
3Lijuan Shen,Yanlin Tang*(co-corresponding), Loon Ching Tang*.Understanding key factors affecting power systems resilience.
2Xiaorui Wang (Ph.D. student), Guoyou Qin, Xinyuan Song,Yanlin Tang*(corresponding). Censored quantile regression based on multiply robust propensity scores.
1Yudong Wang, Zhisheng Ye,Yanlin Tang. Paired two-sample tests with unordered samples.

Published/accepted:

26Yanlin Tang, Yinfeng Wang,Huixia Judy Wang, Qing Pan. (2020+).Conditional marginal test for high dimensional quantile regression.Statistica Sinica, accepted.
25Hefei Liu#, Xinyuan Song, Yanlin Tang#(co-first author), Baoxue Zhang. (2020+). Bayesian quantile non-homogeneous hidden Markov models. Statistical Methods in Medical Research, to appear, https://doi.org/10.1177/2802.
24 Yinfeng Wang, Yanlin Tang*, Xinsheng Zhang. (2020+).A two-step test for the two-sample problem of processes of Ornstein-Uhlenbeck type.Journal of Systems Science and Complexity, accepted.
23Zhikun Gao, Yanlin Tang, Huixia Judy Wang, Guangying Wu, Jeff Lin. (2020). Automatic identification of curve shapes with application to ultrasonic vocalization.Computational Statistics and Data Analysis, 148, 106956.
22 Fangzheng Lin, Yanlin Tang, Zhongyi Zhu.(2020). Weighted quantile regression in varying-coefficient model with longitudinal data.Computational Statistics and Data Analysis, 145, 106915.
21 Hailin Huang#, Yuanzhang Li, Hua Liang, Yanlin Tang#(co-first author). (2020). Estimation of single-index models with fixed censored responses. Statistica Sinica, 30, 829-843.
20 Yanlin Tang, Huixia Judy Wang, Ying Sun, Amanda Hering. (2019). Copula-based semiparametric models for spatio-temporal data. Biometrics, 75,1156-1167.
19 Fuyuan Li, Yanlin Tang, Huixia Judy Wang. (2019). Copula-based semiparametric analysis fortime series data with detection limits. Canadian Journal of Statistics, 47, 438-454.
18 Hailin Huang, Yanlin Tang, Yuanzhang Li, Hua Liang. (2019). Estimation inadditive models with fixed censored responses. Journal of Nonparametric Statistics, 31, 131-143.
17 Yanlin Tang, Huixia Judy Wang, Emre Barut (2018). Testing the presence of significant covariates through conditional marginal regression. Biometrika, 105(1), 57-71.
16Yali Fan, Yanlin Tang and Zhongyi Zhu. (2018). Variable selection in censored quantile regression with high dimensional data. Science China-Mathematics, 61(4):641-658.
15 Yanlin Tang, Huixia Judy Wang, Hua Liang (2018). Composite estimation for single-index models with responses subject to detection limits. Scandinavian Journal of Statistics, 45(3), 444-464.
14 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.
13 Nan Chen, Yanlin Tang, Zhisheng Ye. (2016). Robust quantile analysis for accelerated life test data. IEEE Transactions on Reliability, 65(2), 901-913.
12 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.
11Yanlin Tang and Huixia Judy Wang. (2015). Penalized regression across multiple quantiles under random censoring. Journal of Multivariate Analysis, 141, 132-146.
10 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.
9 Yanlin Tang, Xinyuan Song and Zhongyi Zhu. (2015). Threshold effect test in censored quantile regression. Statistics & Probability Letters, 105, 149-156.
8 Mi Zhou, Huixia Judy Wang, and Yanlin Tang. (2015). Sequential change point detection in linear quantile regression models. Statistics & Probability Letters, 100, 98-103.
7 Yanlin Tang, Xinyuan Song and Zhongyi Zhu. (2015). Variable selection via composite quantile regression with dependent errors. Statistica Neerlandica, 69, 1-20.
6Yinfeng 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.
5 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.
4 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.
3 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.
2 Yanlin Tang, Huixia Judy Wang, Xuming He, Zhongyi Zhu. (2012). An informative subset-based estimator for censored quantile regression. Test, 21, 635-655.
1Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu, Xinyuan Song. (2012). A unified variable selection approach for varying coefficient models.Statistica Sinica, 22, 601-628.





荣誉及奖励

上海市优秀博士论文（2014）
第十一届全国统计科研成果奖博士论文类二等奖（2013）