1.闵继源、鲁统宇、袁伟、许文甫(2025). 基于TW-Focal Loss的债券违约预测及可解释性分析. 系统管理学报,34(03):790-807.(硕士生一作)
2.杨园园、鲁统宇、任婷婷、许文甫(2025). 基于时间加权和AdaBoost集成的动态多因子选股模型. 系统工程,43(1),124-135.(硕士生一作)
3.许静怡、鲁统宇、袁伟(2025).债券评级市场对外开放下我国信用评级质量研究. 中国证券期货,(01):55-65.(硕士生一作)
4.闵继源、鲁统宇、任婷婷、陈汝昊(2024). 基于规则集成的可解释机器学习算法及应用. 计算机科学与探索,18(06), 1476-1490. (硕士生一作)
5.袁伟、鲁统宇、闵继源、许文甫 (2023). 基于声誉与竞争视角的评级机构行为研究. 金融理论与实践,第10期,1-13. (硕士生一作)
6.鲁统宇、段琳洁、宋明顺(2023). 共同富裕综合评价体系的构建与指数测度. 统计学报,第4(5)期,16-28.(硕士生二作)
7.崔俊、鲁统宇、任婷婷(2022). 不同付费模式下评级机构的评级标准变化.上海金融,7期,2-17.(硕士生一作)
8.任婷婷、鲁统宇、崔俊(2021). 基于改进AdaBoost算法的动态不平衡财务预警模型. 数量经济技术经济研究, 11期,182-197.(硕士生一作)
9.Lu T.Y., Lin Y., and Zhong J. (2025) Response-adaptive treatment randomization for trials comparing multiple treatments with ordinal responses, Journal of the Korean Statistical Society, 2025-7-13 online.
10.Xu W., Hou Y., Lu T.Y. (2023). Multiple assessments of non-inferiority trials with ordinal endpoints. Statistics in Medicine, 42, 1113-1126. (SCI)
11.Lu T.Y., Chung K.P., Poon W.Y., and Cheung S.H. (2020). Response-Adaptive Treatment Allocation for Clinical Studies with Ordinal Responses. Statistical Methods in Medical Research.29,359-373.
12.Lu, T.Y., Lin, Y. and Zhong, J. (2017). Pairwise comparisons of treatments with ordinal responses in a two-way setting. Communications in Statistics: Theory and Methods, 46, 10549-10563.
13.Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2016). Multiple comparisons of treatments with skewed ordinal responses. Computational Statistics and Data Analysis, 104, 223-232.
14.Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2016). Comparison of two treatments with skewed ordinal responses. Statistics in Medicine, 35, 189-201.
15.Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2015). Multiple comparisons with a control for a latent variable model with ordered categorical responses, Statistical Methods in Medical Research,24, 949-967.
16.Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2014). A unified framework for the comparison of treatments with ordinal responses. Psychometrika, 79, 605-620.
17.Lu, T.Y., Poon, W.Y., and Tsang, Y.F. (2011). Latent growth curve modeling for longitudinal ordinal responses with applications. Computational Statistics and Data Analysis,55, 1488-1497.