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唐炎林

  • 个人资料
    • 部门: 统计学院
    • 性别:
    • 专业技术职务: 教授
    • 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: 中北理科大楼A1708a
    • 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

    2019.01-至今    华东师范大学统计学院,教授、博士生导师

    2019.01-2023.09  华东师范大学统计学院,研究员、博士生导师

    2012.05-2018.12  同济大学数学系,讲师、副教授


    海外经历:

    2015.09-2017.08     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

    2014.08                 访问新加坡国立大学工业工程系,叶志盛教授

    2011.05-2020.02     多次访问香港中文大学统计系,宋心远教授

    2010.01-02              访问美国北卡州立大学统计系,王会霞(Huixia Judy Wang)教授

    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


    学生:


    同济大学:

    朱文灿(2018届,学硕)

    杨坤(2019届,学硕

    齐雪菲(2021届,学硕


    华东师范大学:

    王晓瑞(2023届,博士)

    杨静(2023届,学硕)

    储嘉诚(2022届,学硕)

    乐璇怿、翁武泰(2024届,专硕)

    杨毅楠、曾玉成(2021届,专硕)


    在读博士:

    衣梦涵(2021级)

    魏潇扬(2022级)

    裘知欣(2023级)

    王天真(2023级)

    张宇辰(2024级)

    在读硕士:

    学硕2022级:肖泽、杨子豪、任沛宇

    学硕2023级:翟安琪、王玄玄

    专硕2023级:谢若晗

    专硕2024级:孙乙文、黄嘉睿、陈琳、周欣宴、陶俊杰、张子怡、谢文丽



    教育经历

    2012.01 博士,复旦大学统计学系(导师:朱仲义教授)

    2006.07 学士,同济大学数学系

    个人简介

    唐炎林,华东师范大学统计学院教授,博士生导师,统计学系主任;入选国家高层次青年人才计划(组织部)。20121月博士毕业于复旦大学统计系,同年5月加入同济大学,20191月加入华东师范大学。主要研究方向为分位数回归、高维统计推断、不完全数据统计建模,主持多项国家自然科学基金、上海市自然科学基金,担任SCI期刊Statistica SinicaJournal of the Korean Statistical Society编委。在BiometrikaJRSSBPNASBiometrics等发表论文30余篇。


    社会兼职

    Associate Editor:

    Statistica Sinica 2023.8-

    Journal of the Korean Statistical Society 2020.1-


    Reviewer:

    The Annals of Statistics, Journal of American Statistical Association, Biometrika, Journal of Machine Learning Research, Journal of Business and Economic Statistics, Technometrics, Statistica Sinica, Scandinavian Journal of Statistics, Journal of Multivariate Analysis, Journal of Statistical Planning and Inference, Canadian Journal of Statistics, Science China Mathematics, Environmetrics, 中国科学(中文)、应用概率统计


    通讯评审:

    国家自然科学基金

    浙江省基础公益研究计划

    研究方向

    分位数回归、高维统计推断、不完全数据统计建模


    招生与培养

    开授课程

    时间序列分析(本科)、应用时间序列分析(应用统计硕士)

    科研项目

    主持国家级项目:

    国家自然科学基金面上项目,缺失聚类数据的分布式保形预测问题研究,12371265,2024.01-2027.12

    国家自然科学基金面上项目,高维纵向数据分位数回归中的统计推断研究,11871376,2019.01-2022.12

    国家自然科学基金青年项目,面板数据分位数回归中的模型选择问题研究,11301391,2014.01-2016.12


    主持省部级项目:

    上海市自然科学基金面上项目,复杂数据的分位数回归研究,21ZR1420700,2021.07-2024.06

    上海市浦江人才计划,高维分位数回归模型的统计推断及应用,2018.07-2020.06


    教学:

    《大夏学堂优质示范课程——时间序列分析》校级教改项目(主持)

    《学科融合与领域交叉的统计学复合型创新人才培养体系》华东师范大学教学成果一等奖(3/5)

    《学科融合与领域交叉的统计学复合型创新人才培养体系改革与建设》上海高校本科重点教改项目(3/6)


    学术成果

    代表性论文:

    11 Xiaorui Wang#, Jing Yang#, Yinfeng Wang#, Yanlin Tang*, Jianqing Shi*. (2024+). Multiply robust estimation for general multivalued treatment effects with missing outcomes.  Science China-Mathematics, accepted.

    10 Yudong Wang, Yanlin Tang, Zhisheng Ye*. (2022). Paired or partially paired two-sample tests with unordered samples. Journal of the Royal Statistical Society, Series B, 84, 1503-1525. (统计顶刊)

    Yanlin Tang, Huixia  Judy Wang*, Emre Barut (2018). Testing the presence of significant covariates  through conditional marginal regression. Biometrika,  105(1), 57-71. (统计顶刊)

    8 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. (综合顶刊)

    Yanlin Tang, Yinfeng Wang*, Huixia Judy Wang, Qing Pan. (2022). Conditional marginal test for high dimensional quantile regression. Statistica Sinica, 32, 869-892.

    6 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.

    5 Yanlin Tang, Huixia Judy Wang*, Ying Sun, Amanda Hering. (2019).  Copula-based semiparametric models for spatio-temporal data.  Biometrics, 75,1156-1167.

    4 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.

    3 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.

    Yanlin Tang, Huixia Judy Wang, Xuming  He, Zhongyi Zhu*. (2012). An informative subset-based estimator for censored  quantile regression. Test, 21, 635-655.

    Yanlin  Tang, Huixia Judy Wang, Zhongyi Zhu*, Xinyuan Song. (2012). A unified variable  selection approach for varying coefficient models.  Statistica Sinica, 22, 601-628.


    其他论文:

    29 Yuanyuan Tang, Xiaorui Wang, Jianming Zhu, Hongmei Lin*, Yanlin Tang, Tiejun Tong. (2024+). Robust inference for censored quantile regression. Journal of Systems Science and Complexity, accepted.

    28 Yanlin Tang*#, Jinglong Wang#, Menghan Yi(博士生)#, Zhongyi Zhu# (2024+, 字母顺序). Goodness of fit for the Waring distribution. Statistical Theory and Related Fields, accepted.

    27 Xiaorui Wang(博士生), Guoyou Qin, Yanlin Tang*, Yinfeng Wang*(2023+). Multiply robust estimation of quantile treatment effects with missing responses. Communications in Mathematics and Statistics, 在线发表.

    26 Linsui Deng, Yanlin Tang, Jun Chen, Xianyang Zhang. (2024). Structure-adaptive canonical correlation analysis for microbiome multi-omics data. Frontiers in Genetics, section Statistical Genetics and Methodology, 15, 1489694.

    25 储嘉诚 (硕士生), 唐炎林* (2023). 高维线性模型中的纠偏 LASSO 综述. 应用概率统计, 39, 455-474.

    24 Yinfeng Wang, Huixia Judy Wang, Yanlin Tang*. (2023). Score-based test in high-dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data. Stat, 12, e610.

    23 Yanlin Tang*#, Jinglong Wang#(co-first author), Zhongyi Zhu. (2023). On the MLE of the Waring distribution. Statistical Theory and Related Fields, 7, 144-158.

    22 Fangzheng Lin, Yanlin Tang#(co-first author), Huichen Zhu, Zhongyi Zhu. (2022). Spatially clustered varying coefficient model. Journal of Multivariate Analysis, 192, 105023.

    21 Yanlin Tang, Xinyuan Song, Grace Yun Yi*. (2022). Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes. Lifetime Data Analysis, 28, 139-168.

    20 Xiaorui Wang (博士生), Guoyou Qin, Xinyuan Song, Yanlin Tang*. (2022). Censored quantile regression based on multiply robust propensity scores. Statistical Methods in Medical Research, 31, 475-487.

    19 Menghan Yi (博士生), Zaixing Li*, Yanlin Tang. (2022). F-type testing in functional linear models. Stat, 11, e420.

    18 Lijuan Shen, Yanlin Tang*, Loon Ching Tang*. (2021). Understanding key factors affecting power systems resilience. Reliability Engineering and System Safety, 212, No. 107621.

    17 Hefei Liu#, Xinyuan Song*, Yanlin Tang#(co-first author), Baoxue Zhang. (2021). Bayesian quantile non-homogeneous hidden Markov models. Statistical Methods in Medical Research, 30, 112-128.

    16 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, 33, 2067-2079.

    15 Zhikun 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.

    14 Fangzheng Lin, Yanlin Tang, Zhongyi Zhu*.(2020). Weighted quantile regression in varying-coefficient model with longitudinal data.Computational Statistics and Data Analysis, 145, 106915.

    13  Fuyuan Li, Yanlin Tang, Huixia Judy Wang*. (2019). Copula-based semiparametric  analysis for  time series data with detection limits. Canadian Journal of Statistics,  47, 438-454.

    12 Hailin Huang, Yanlin Tang, Yuanzhang Li, Hua Liang*. (2019). Estimation in   additive models with fixed censored responses. Journal of Nonparametric Statistics, 31, 131-143.

    11 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.

    10 Nan Chen, Yanlin Tang,  Zhisheng Ye*. (2016). Robust quantile analysis for accelerated life test data.  IEEE Transactions on Reliability, 65(2), 901-913.
    Yanlin Tang* and Huixia Judy  Wang. (2015). Penalized regression across multiple quantiles under random  censoring. Journal of Multivariate Analysis, 141,  132-146.
    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.
    Yanlin Tang, Xinyuan Song and Zhongyi Zhu*. (2015). Threshold effect  test in censored quantile regression. Statistics & Probability  Letters, 105, 149-156.
    6 Mi Zhou, Huixia Judy Wang*, and Yanlin  Tang. (2015). Sequential change point detection in linear quantile regression  models. Statistics & Probability Letters, 100,  98-103.
    Yanlin Tang, Xinyuan Song and Zhongyi Zhu*. (2015). Variable  selection via composite quantile regression with dependent errors.  Statistica Neerlandica, 69, 1-20.
    4 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.

    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.

    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.
    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.


    书/章节:

    1. Yanlin Tang, Emre Barut, Huixia Judy Wang. (2021). High dimensional inference, book chapter, to appear.

    2. 张日权, 刘玉坤, 唐炎林, 王小舟. (2023). 现代非参数统计方法, 科学出版社.


    荣誉及奖励

    国家高层次青年人才计划(组织部)(2023)

    华东师范大学紫江优秀青年学者(2023)

    华东师范大学紫江青年学者(2019)

    上海市浦江人才计划(2018)

    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)