英文论文
1. Yunlu Jiang, Huang Xiaowen, Tan, Jing, Jiang Ruizhe. Robust feature screening via Grothendieck’s correlation with FDR control. Statistics and Computing, 2025, 35(5): 140-157.
2. Jiang Ruizhe, Huang Xiaowen, Yunlu Jiang. A two-sample test for high-dimensional mean vectors via double verification. Statistical Papers, 2025, 66(6), 1-24.
3. Yunlu Jiang,Xueqin Wang, Wen canhong, Jiang Yukang, Zhang Heping. Nonparametric two-sample tests of high dimensional mean vectors via random integration. Journal of the American Statistical Association, 2024, 119(545): 701-714.
4. Yunlu Jiang, Wen canhong, Jiang Yukang, Xueqin Wang, Zhang Heping. Use of random integration to test equality of high dimensional covariance matrices. Statistica Sinica, 2023, 33(4): 2359-2380.
5. Yan Wang(学生), Yunlu Jiang*, Jiantao Zhang et al. Robust variable selection based on the random quantile LASSO. Communications in Statistics-Simulation and Computation, 2022, 51(1): 29-39.
6. Yunlu Jiang, You-gan Wang, Liya Fu and Xueqin Wang (2019) Robust estimation using modified Huber’s functions with new tails. Technometrics, 61, 111-122.
7. Yunlu Jiang, Canhong Wen, Xueqin Wang (2018) Adaptive Exponential Power Depth with Application to Classification. Journal of Classification. 38: 466-480.
8. Yunlu Jiang, Yu Conglian & Ji Qinghua (2018) Model selection for the localized mixture of experts models. Journal of Applied Statistics. 45: 1994-2006.
9. Yunlu Jiang, Ji Qinghua, Xie Baojian (2017) Robust estimation for the varying coefficient partially nonlinear models. Journal of Computational and Applied Mathematics, 326: 31-43.
10. Yunlu Jiang (2017) S-estimator in partially linear regression models. Journal of Applied Statistics. 44: 968-977.
11. Yunlu Jiang, Guoliang Tian, Yu Fei (2017) A robust and efficient estimation method for partially nonlinear models via a new MM algorithm. Statistical Papers, 2019, 60(6): 2063-2085..
12. Yunlu Jiang (2016) An exponential-squared estimator in the autoregressive model with heavy-tailed errors. Statistics and Its Interface, 9: 233--238.
13. Yunlu Jiang (2016) Robust variable selection for mixture linear regression models, Hacettepe Journal of Mathematics and Statistics. 45, 549 – 559.
14. Yunlu Jiang (2015) Robust Estimation in Partially Linear Regression Models, Journal of Applied Statistics, 42, 2497–2508.
15. Yunlu Jiang. (2015) Double-Penalized Quantile Regression in Partially Linear Models, Open Journal of Statistics, 5, 158-164.
16. Yunlu Jiang (2014) Nonparametric quantile regression models via majorization minimization-algorithm, Statistics and Its Interface, 7, 235-240.
17. Yunlu Jiang, Hong Li (2014) Penalized weighted composite quantile regression in the linear regression model with heavy-tailed autocorrelated errors. Journal of the Korean Statistical Society, 43, 531-543.
18. Xueqin Wang, Yunlu Jiang, Mian Huang, Heping Zhang (2013) Robust variable selection with exponential squared loss. Journal of the American Statistical Association,108, 632-643.
19. Yunlu Jiang, Shaoli Wang, Wenxiu Ge, Xueqin Wang (2011) Depth-based weighted empirical likelihood and general estimating equations. Journal of nonparametric statistics,23, 1051-1062.
中文论文
1.姜云卢,丰之韵,刘巧云,邹航.基于 MRCD 估计的高维稳健因子分析方法及应用研究.数理统计与管理, 2024,43(02):295-306.
2.姜云卢,邹航,温灿红,张宝学,王学钦.基于折扣指数损失函数的高维异方差数据的惩罚稳健回归估计（英文）.数学进展, 2024,53(01):41-63.
3. 邹航（学生）,姜云卢(通讯作者).高维线性回归模型稳健变量选择方法综述.应用概率统计, 2024,40(01):157-181.
4. 姜云卢,丰之韵.高维稳健 Hotelling T2 控制图的研究与应用.系统科学与数学,2022,42(07):1877-1890.
5. 姜云卢,胡月,刘巧云,黄美兰.高维稳健主成分聚类方法及其应用研究.数理统计与管理,2022,41(01):1-10.
6. 姜云卢,邓罡,文诗涵,刘峻成.高维稳健典型相关分析研究与应用.系统科学与数学,2021,41(10):2965-2976.
7. 姜云卢，葛文秀 （2015） Geman-McClure 中位数。应用数学学报，38: 303-316.