Sijia Xiang

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Machine learning embedded EM algorithms for semiparametric mixture regression models.
Comput. Stat.
Jiacheng Xue, Weixin Yao, Sijia Xiang
2024 J jnl
A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions.
Comput. Stat.
Hongpeng Yuan, Sijia Xiang, Weixin Yao
2023 J jnl
Can we realize nonnegative blind source separation with incomplete matrix?
Signal Image Video Process.
Mingzhan Zhao, Zhiliang Wang, Sijia Xiang, Zhen Zhao
2022 J jnl
NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection.
Neurocomputing
Kai Zeng, Qiang Ma, Jiawen Wu, Sijia Xiang, Tao Shen, Lei Zhang
2022 J jnl
Nonparametric statistical learning based on modal regression.
J. Comput. Appl. Math.
Sijia Xiang, Weixin Yao
2022 J jnl
Robust estimation and outlier detection for varying-coefficient models via penalized regression.
Commun. Stat. Simul. Comput.
Guangren Yang, Sijia Xiang, Weixin Yao, Lin Xu
2020 J jnl
Semiparametric mixtures of regressions with single-index for model based clustering.
Adv. Data Anal. Classif.
Sijia Xiang, Weixin Yao
2019 J jnl
Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data.
J. Multivar. Anal.
Lin Xu, Sijia Xiang, Weixin Yao
2017 J jnl
Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator.
Commun. Stat. Simul. Comput.
Li Yang, Sijia Xiang, Weixin Yao
2016 J jnl
Robust estimation of the number of components for mixtures of linear regression models.
Comput. Stat.
Meng Li, Sijia Xiang, Weixin Yao
2016 J jnl
Semiparametric mixture: Continuous scale mixture approach.
Comput. Stat. Data Anal.
Sijia Xiang, Weixin Yao, Byungtae Seo