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2020 – today
- 2026
[j8]Chengxin Wu, Nengxiang Ling:
Smoothed quantile regression for functional partially linear model with ultrahigh-dimensions and censored responses. Stat. Comput. 36(2): 72 (2026)- 2025
- [j7]Hongxia Xu, Yanting Xu, Nengxiang Ling, Guoliang Fan
:
Sufficient dimension reduction in the presence of controlling variable and missing multivariate response. Commun. Stat. Simul. Comput. 54(7): 2525-2543 (2025) - [j6]Shuquan Yang, Nengxiang Ling:
Robust estimation of functional factor models with functional pairwise spatial signs. Comput. Stat. 40(1): 87-110 (2025) - [j5]Shuyu Meng, Zhensheng Huang, Nengxiang Ling:
kNN estimators for time series prediction: a functional partial linear single index model with missing responses and error-prone covariates. Comput. Stat. 40(7): 3359-3384 (2025) - [j4]Chengxin Wu, Nengxiang Ling:
Partially functional linear expectile regression model with missing observations. Comput. Stat. 40(7): 3981-4005 (2025) - 2023
- [j3]Shuquan Yang, Nengxiang Ling:
Robust projected principal component analysis for large-dimensional semiparametric factor modeling. J. Multivar. Anal. 195: 105155 (2023) - [j2]Chengxin Wu, Nengxiang Ling, Philippe Vieu, Wenjuan Liang:
Partially functional linear quantile regression model and variable selection with censoring indicators MAR. J. Multivar. Anal. 197: 105189 (2023) - 2022
- [j1]Shuquan Yang, Nengxiang Ling, Yulin Gong:
Robust estimation of the number of factors for the pair-elliptical factor models. Comput. Stat. 37(3): 1495-1522 (2022)
Coauthor Index
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