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谭发龙

时间:2018-10-02

姓名:

谭发龙


职称/职务:

教授

办公地点:

9778818威尼斯财院校区红楼3号楼

E-mail:

falongtanAThnu.edu.cn(防垃圾邮件设置AT为@)

一、 个人简介

       香港浸会大学哲学博士,现任9778818威尼斯教授、博士生导师,统计学系主任。主要研究兴趣包括统计机器学习、高维数据分析、高维模型检验、高维经验过程、充分性降维、因果推断与精准医疗等。主持和参与国家自然科学基金、省部级项目近10余项。

招收研究生的基本要求:数学和统计理论基础好或者编程能力强,否则请您谨慎报考。

二、教育背景和工作经历

1.教育背景

2014.09-2017.11

香港浸会大学统计学专业,哲学博士(2014.09-2015.08在深圳大学联合培养)

2005.09-2007.06

武汉大学基础数学专业,理学硕士

2001.09-2005.06

武汉大学数学基地班,理学学士

2.工作经历

2020.01至今

9778818威尼斯,副教授

2017.12-2019.12

9778818威尼斯,助理教授

2019.01-2020.01

香港浸会大学数学系,访问学者

三、研究领域

统计机器学习、高维数据分析、因果推断与精准医疗等

四、讲授课程

《统计学习》、《高等数理统计》、《多元统计分析》等

五、主要学术成果

1.代表性论文(*通讯作者)

1. FalongTan, XuehuZhu and LixingZhu﹡(2018). A projection-based adaptive to model test for regressions.Statistica sinica, 28, 157-188.

2.FalongTan and LixingZhu﹡(2019). Adaptive-to-model checking for regressions with diverging number of predictors.Annals of Statistics,47,1960-1994.

3.Falong Tan, Xuejun Jiang﹡,Xu Guo and Lixing Zhu (2021). Testing heteroscedasticity for regression models based on projections. Statistica sinica, 31, 625-646.

4.FalongTan and LixingZhu﹡(2022). Integrated conditional moment test and beyond: when the number of covariates is divergent. Biometrika, 109, 103-122.

2.研究项目

主持

国家自然科学基金面上项目,高维回归模型诊断及其相关问题研究,2021-2024,在研

、学术兼职

Statistica Sinica,Statistics and Its Interface, Computational Statistics and Data Analysis,Statistical Analysis and Data Mining等期刊的审稿人。

参与学术会议

1、2021.07 数据科学与数据智能学术论坛暨数据科学分会2021年学术年会,贵州财经大学,分组报告:Integrated conditional moment test and beyond: when the number of covariates is divergent.

2019.12 The 11th ICSA International Conference, Zhejiang University. Invited presentation:Integrated conditional moment test and beyond: when the number of covariates is divergent.

2019.05 The 13th National Symposium on Survival Analysis and Applied Statistics, Shanxi Normal University. Invited presentation:Adaptive-to-model checking for regressions with diverging number of predictors.

2018.05 The 12th National Symposium on Survival Analysis and Applied Statistics, An Hui University. Invated presentation:A projection based adaptive to model test for regressions.

2、2019.12 The 11th ICSA International Conference, Zhejiang University. Invited presentation:Integrated conditional moment test and beyond: when the number of covariates is divergent.

3、2019.05 The 13th National Symposium on Survival Analysis and Applied Statistics, Shanxi Normal University. Invited presentation:Adaptive-to-model checking for regressions with diverging number of predictors.

4、2018.05 The 12th National Symposium on Survival Analysis and Applied Statistics, An Hui University. Invated presentation:A projection based adaptive to model test for regressions.