譚發龍，男，博士。現任湖南大學金融與統計學院統計系助理教授。
基本介紹
- 中文名：譚發龍
- 畢業院校：武漢大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：金融學、統計學
- 任職院校：湖南大學金融與統計學院
人物經歷,教育經歷,工作經歷,研究方向,學術成果,
人物經歷
教育經歷
2014.09至2017.11 博士 香港浸會大學，統計學（其中2014.09至2015.08 深圳大學聯合培養）
Thesis Title：Projected adaptive-to-model tests for regression models.
2005.09至2007.07 碩士 武漢大學， 代數學/表示論
2001.09至2005.07 學士 武漢大學， 數學基地班數學與套用數學
工作經歷
2019.01-2020.01 visiting research scholar, Hong Kong Baptist University
2017.12至今 湖南大學金融與統計學院統計系，助理教授
2007.09-2014.08 黃山學院數學與統計學院，助教
研究方向
高維假設檢驗，充分降維，經驗過程，統計學習，高維數據分析，計量經濟學，非參數統計
學術成果
Publications/Preprints
[1]. Falong Tan, Xuehu Zhu and Lixing Zhu (2018). A projection-based adaptive-to-model test for regressions. Statistica sinica. 28, 157-188.
[2]. Falong Tan and Lixing Zhu. (2019). Adaptive-to-model checking for regressions with diverging number of predictors. The Annals of Statistics, 47, 1960-1994.
[3]. Falong Tan, Xuejun Jiang﹡, Xu Guo and Lixing Zhu. (2020). Testing heteroscedasticity for regression models based on projections. Statistica sinica. Accepted.
[4]. Falong Tan and Lixing Zhu. Integrated conditional moment test and beyond: when the number of covariates is divergent. Submitted. 2019
Conferences/Seminars
2019.05 The 13 th National Symposium on Survival Analysis and Applied Statistics, Shanxi Normal University.
2018.05 The 12 th National Symposium on Survival Analysis andApplied Statistics, An Hui University.
2017.06 The 1 st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong University of Science and Technology.
2017.03 The First International Conference on Mathematics of Data Science (mathDS), Hong Kong Baptist University.
2016.12 The 10 th ICSA International Conference, Shanghai Jiao Tong University.
2016.06 The 4 th Institute of Mathematical Statistics Asia Pacific Rim Meeting, The Chinese University of Hong Kong.
2016.05 Workshop on statistical theories, methodologies and applications in high
dimensional data analysis and biomedicine，Hong Kong Baptist University.
2015.07 Summer School on Econometrics and Statistics, The Wang Yanan Institute for Studies in Economics, Xiamen University.
