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

     讲授课程

     数学分析；概率论与数理统计；回归分析；高等数理统计；高维数据分析

     科研情况

论文：

[1] Tan, X., Zhang, X., Cui, Y., Liu, X.^* (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] 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, Accepted. (SCI)

[3] 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)

[4] 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)

[5] Tan, X., Peng, L., Lian, H.(练恒), Liu, X.^* (2024). Adaptive Huber trace regression with low-rank matrix parameter via nonconvex regularization. Journal of Complexity, 85(06): 101871.  (SCI 2区)

[6] 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)

[7] 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, 核心)

[8] Li, Y.^*, Tan, X. (2024+). Asymptotic properties of the recursive kernel density estimate for extended negatively dependent sample. Bulletin of the Korean Mathematical Society, Accepted. (SCI)

[9] Li, C., Tan, X., Peng, L., Li, M., Liu, X.^* (2024+). Generalized trace regression with simultaneously nonconvex nuclear norm and two-dimensional spline lasso. Acta Mathematica Sinica, Online. (SCI, 权威A)

[10] 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, 核心)

[11] 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)

[12] 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,  2023, 79(06): 101778.  (SCI 2区)

[13] 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)

[14] 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)

[15] 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.  (核心)

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

[17] 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)

[18] 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)

[19] 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)

[20] 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)

[21] 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)

[22] 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, 主持江西省教育厅青年项目, 2021.01—2022.12.(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.

谭祥勇, 主持国家自然科学基金青年项目, 2023.01—2025.12.

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、省级基金多项.

  指 导 学 生 情 况

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

     专硕：2021级：3人；2022级：3人；2023级：1人；  

      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.