谭发龙,男,博士.现任湖南大学金融与统计学院统计系助理教授. 2014.09至2017.11 博士 香港浸会大学,统计学(其中2014.09至2015.08 深圳大学联合培养)Thesis Title:Projected adaptive-to-model tests for regression models.2005.09至2007.07 硕士 武汉大学, 代数学/表示论2001.09至2005.07 学士 武汉大学, 数学基地班数学与应用数学.2014.09至2017.11 博士 香港浸会大学,统计学(其中2014.09至2015.08 深圳大学联合培养)Thesis Title:Projected adaptive-to-model tests for regression models.2005.09至2007.07 硕士 武汉大学, 代数学表示论2001.09至2005.07 学士 武汉大学, 数学基地班数学与应用数学2019.01-2020.01 visiting research scholar, Hong Kong Baptist University2017.12至今 湖南大学金融与统计学院统计系,助理教授2007.09-2014.08 黄山学院数学与统计学院,助教高维假设检验,充分降维,经验过程,统计学习,高维数据分析,计量经济学,非参数统计PublicationsPreprints. Falong Tan, Xuehu Zhu and Lixing Zhu (2018). A projection-based adaptive-to-model test for regressions. Statistica sinica. 28, 157-188.. Falong Tan and Lixing Zhu. (2019). Adaptive-to-model checking for regressions with diverging number of predictors. The Annals of Statistics, 47, 1960-1994.. Falong Tan, Xuejun Jiang﹡, Xu Guo and Lixing Zhu. (2020). Testing heteroscedasticity for regression models based on projections. Statistica sinica. Accepted.. Falong Tan and Lixing Zhu. Integrated conditional moment test and beyond: when the number of covariates is divergent. Submitted. 2019ConferencesSeminars2019.05 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 highdimensional 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.