学术研究领域

高维统计推断、半参数与非参数统计、矩阵回归、海底地形反演.

荣誉称号和社会团体兼职

全国工业统计学教学研究会青年统计学家协会理事.

中国现场统计研究会多元分析分会理事.

江西省统计学会理事.                 

讲授课程

本科：数学分析；概率论与数理统计；回归分析；高维数据分析；R语言；

硕士：高维数据分析；大数据理论专题；

博士：高等数理统计；最优化理论与智能算法；        

科研情况

专著：

[1] 刘旭, 谭祥勇. 高维数据分析与统计推断[M]. 北京: 科学出版社, 2025.

研究成果：

[1] Tan, X., Zhang, X., Cui, Y., Liu, X.* (刘旭) (2024). Uncertainty quantification in high-dimensional linear models incorporating graphical structures with applications to gene set analysis. Bioinformatics, 40(9): btae541. (WOS 1区, IF 7.6)

[2] Fang, Y., Li, Q., Li, H., Tan, X.*(2026+). Variable Selection Based on A-learning for Optimal Treatment Regimes with Survival Data under Semiparametric Model. Statistics and Its Interface, Accepted. (通讯, SCI)

[3] Li, Z., Guo, S., Li, J.(本科生), Zhou, Y.(周勇), Liu, X.(刘旭), Tan, X.*(2025). Confidence intervals for high-dimensional network-auxiliary expectile regression models. Stat, 14(4): e70101. (通讯, SCI)

[4] Tan, X., Lu, X.*(学生), Hu, T., Li, H. (2025). Testing Heteroskedasticity in trace regression with low-rank matrix parameter. Communications in Statistics–Theory and Methods, 54(22): 7272-7285. (SCI)

[5] Li, Y.*, Tan, X. (2025). Asymptotic properties of the recursive kernel density estimate for extended negatively dependent sample. Bulletin of the Korean Mathematical Society, 62(02): 339–359. (SCI)

[6] 李倩,谭祥勇*,方月歆,王宇石.基于函数型数据的长江经济带高质量发展动态综合评价[J].南京邮电大学学报(社会科学版), 2025,27(01):73-83.(通讯, 核心)

[7] Fang, Y., Tan, X.*, Li, Q. (2025). Estimation of the Optimal Treatment Regimes with Multiple Treatments under Proportional Hazards Model. Statistics and Probability Letters, 219: 110357. (通讯, SCI)

[8] Li, C., Tan, X., Peng, L., Li, M., Liu, X.* (2025). Generalized trace regression with simultaneously nonconvex nuclear norm and two-dimensional spline lasso. Acta Mathematica Sinica, 41(10):2593-2618. (SCI, 权威A)

[9] 陈明镜,饶博*,郭盛亮,谭祥勇.三元引擎赋能新质生产力发展研究[J].金融经济,2025,(06):42-52.

[10] Tan, X., Peng, L., Lian, H.(练恒), Liu, X.* (2024). Adaptive Huber trace regression with low-rank matrixparameter via nonconvex regularization. Journal of Complexity,85: 101871.(SCI2区)

[11] Khin Sandi Myint*(学生), Luo, S., Tan, X. et al. (2024).Nexus Between Economic Growth and CO2 Emissions in ASEAN Countries. International Journal of Global Warming, 34(3):275-290. (SCI)

[12] 李倩,谭祥勇*,方月歆*,李红梅.(2024+).部分函数型线性模型中高维回归系数的检验[J].应用概率统计, 已接收.(通讯,CSCD,权威B)

[13] 李倩,谭祥勇,王黎明*. 带有自相关结构误差的多元函数型回归模型的变量选择[J].应用概率统计,2024,40(4):588−607.(CSCD,权威B)

[14] Peng, L., Liu, X.*,Tan, X., Zhou, Y., Luo, S. (2024). The statistical rate for support matrix machines under low rankness and row (column) sparsity. Statistical papers, 65:4567–4598. (SCI)

[15] Tan, X., Peng, L., Xiao, P., Liu, Q.,Liu, X.* (2023). The rate of convergence for sparse and low-rank quantile trace regression. Journal of Complexity, 79: 101778. (SCI2区)

[16] Peng, L., Tan, X.,Xiao, P.,Zeinab Rizk,Liu, X.* (2023). Expectile trace regression via low-rank and group sparsity regularization. Statistics, 57(6): 1469-1489. (SCI)

[17] Peng, L.,Tan, X., Xiao, P.,Zeinab Rizk, Liu, X.* Oracle Inequality for Sparse Trace Regression Models with Exponential β-mixing Errors[J]. Acta Mathematica Sinica, 2023, 39(10): 2031-2053. (SCI, 权威A)

[18] 谭祥勇, 胡天英, 刘锋*. Huber损失下线性模型的序列相关检验[J].重庆理工大学学报(自然科学), 2023, 37(08):342-347. (北大核心)

[19] Tan, X.* Test for high dimensional partially linear models, Communications in Statistics-Theory and Methods, 2022, 51(18): 6423-6434. (通讯,SCI)

[20] 谭祥勇, 李倩*, 方月歆. 部分函数型线性变系数模型的序列相关检验[J]. 统计研究, 2021, 38(02):135-145. (CSSCI, 权威A)

[21] Chen, M.*, Tan, X., and Wu, J. Time Varying Factor Models with Possibly Strongly Correlated Noises. Journal of Applied Statistics, 2021, 48(5): 887-906. (SCI)

[22] Li, Q., Tan, X., and Wang, L.* Testing for error correlation in partially functional linear regression models, Communications in Statistics - Theory and Methods, 2021, 50(3):747-761. (SCI)

[23] 刘锋,王鹏飞*,谭祥勇,康新梅.基于非参数自回归模型的黄金价格短期分析预测[J].数理统计与管理,2018,37(02):357-361. (权威B)

[24] Liu, F., Tan, X.*, Guo, S., and Kang, X.Testing for serial correlation in linear model with validation data, Communications in Statistics-Theory and Methods, 2017, 46(12): 6074-6084.(通讯, SCI)

[25] Liu,F., Tan, X.*, Guo, S., and Kang, X.Testing serial correlation in partially linear model with validation data, Communications in Statistics-Theory and Methods. 2017, 46(19): 9795-9806.(通讯, SCI)

项目：

谭祥勇, 主持国家自然科学基金地区项目, 2026.01—2029.12.

谭祥勇, 主持国家自然科学基金青年项目, 2023.01—2025.12.(已结项)

谭祥勇, 主持江西省自然科学基金青年项目, 2021.12—2023.12.(已结项)

谭祥勇, 主持江西省教育厅青年项目, 2021.01—2022.12.(已结项)

参与国家自然科学基金重大项目1项、国家自然科学基金面上项目2项、省部级项目10余项.

指导学生情况     

指导硕士研究生：学硕：2023级：1人；2024级：2人；2025级：1人；       

专硕：2021级：3人；2022级：3人；2023级：1人；2025级：5人； 

获 奖 情 况

2025年12月：指导的硕士学位论文获评“江西省优秀硕士学位论文”;

其 它 情 况      

教育经历：

2016.09—2020.06，博士, 上海财经大学, 数理统计学.

工作经历：

2020.07—2024.11, 江西财经大学 统计与数据科学学院, 讲师.

2024.12—至今, 江西财经大学 统计与数据科学学院, 副教授.