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2020 – today
- 2024
[j10]Hongpeng Yuan, Sijia Xiang
, Weixin Yao:
A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions. Comput. Stat. 39(4): 1729-1746 (2024)- 2023
- [j9]Mingzhan Zhao, Zhiliang Wang, Sijia Xiang, Zhen Zhao:
Can we realize nonnegative blind source separation with incomplete matrix? Signal Image Video Process. 17(4): 1411-1418 (2023) - 2022
- [j8]Guangren Yang, Sijia Xiang, Weixin Yao, Lin Xu:
Robust estimation and outlier detection for varying-coefficient models via penalized regression. Commun. Stat. Simul. Comput. 51(10): 5845-5856 (2022) - [j7]Kai Zeng, Qiang Ma, Jiawen Wu, Sijia Xiang, Tao Shen, Lei Zhang:
NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection. Neurocomputing 493: 15-27 (2022) - [j6]Sijia Xiang, Weixin Yao:
Nonparametric statistical learning based on modal regression. J. Comput. Appl. Math. 409: 114130 (2022) - 2020
- [j5]Sijia Xiang, Weixin Yao:
Semiparametric mixtures of regressions with single-index for model based clustering. Adv. Data Anal. Classif. 14(2): 261-292 (2020)
2010 – 2019
- 2019
- [j4]Lin Xu, Sijia Xiang, Weixin Yao:
Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data. J. Multivar. Anal. 171: 397-411 (2019) - 2017
- [j3]Li Yang, Sijia Xiang, Weixin Yao:
Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator. Commun. Stat. Simul. Comput. 46(2): 1280-1291 (2017) - 2016
- [j2]Sijia Xiang, Weixin Yao, Byungtae Seo:
Semiparametric mixture: Continuous scale mixture approach. Comput. Stat. Data Anal. 103: 413-425 (2016) - [j1]Meng Li, Sijia Xiang, Weixin Yao:
Robust estimation of the number of components for mixtures of linear regression models. Comput. Stat. 31(4): 1539-1555 (2016)
Coauthor Index
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