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Yuzhu Tian
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2020 – today
- 2024
- [j18]Zhibao Mian, Xiaofei Deng, Xiaohui Dong, Yuzhu Tian, Tianya Cao, Kairan Chen, Tareq Aljaber
:
A literature review of fault diagnosis based on ensemble learning. Eng. Appl. Artif. Intell. 127(Part B): 107357 (2024) - [j17]Niu Xiaoyu, Yuzhu Tian
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model. Stat. Anal. Data Min. 17(1) (2024) - [j16]Yuzhu Tian
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization. Stat. Anal. Data Min. 17(2) (2024) - 2023
- [j15]Xiaoliang Wang
A class of three-term derivative-free methods for large-scale nonlinear monotone system of equations and applications to image restoration problems. J. Appl. Math. Comput. 69(1): 1269-1296 (2023) - 2022
- [j14]Yuzhu Tian, Liping Pang, Yanbo Pang, Hongwei Zhang:
Adaptive multilabel image segmentation model with prior constraints based on geometric structure characteristics. J. Electronic Imaging 31(6) (2022) - 2021
- [j13]Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian:
Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies. Commun. Stat. Simul. Comput. 50(6): 1837-1853 (2021) - [j12]Yuzhu Tian, Man-Lai Tang, Wai-Sum Chan, Maozai Tian:
Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings. Comput. Stat. 36(2): 1289-1319 (2021) - [j11]Yuzhu Tian, Man-Lai Tang, Maozai Tian:
Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. Comput. Stat. 36(4): 2967-2994 (2021) - [j10]Yuzhu Tian, Man-Lai Tang, Maozai Tian:
Correction to: Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. Comput. Stat. 36(4): 2995 (2021) - 2020
- [j9]Yuzhu Tian, Xinyuan Song
Bayesian bridge-randomized penalized quantile regression. Comput. Stat. Data Anal. 144: 106876 (2020) - [j8]Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian:
Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm. Commun. Stat. Simul. Comput. 49(2): 317-334 (2020) - [j7]Aijun Yang, Yuzhu Tian, Yunxian Li, Jinguan Lin:
Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data. Comput. Stat. 35(1): 245-258 (2020)
2010 – 2019
- 2019
- [j6]Yuzhu Tian, Silian Shen, Ge Lu, Man-Lai Tang, Maozai Tian:
Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors. Commun. Stat. Simul. Comput. 48(3): 777-796 (2019) - 2018
- [j5]Yuzhu Tian, Man-Lai Tang, Maozai Tian:
Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies. Comput. Stat. 33(4): 1563-1587 (2018) - [j4]Yuzhu Tian, Man-Lai Tang, Yanchao Zang, Maozai Tian:
Quantile regression for linear models with autoregressive errors using EM algorithm. Comput. Stat. 33(4): 1605-1625 (2018) - 2016
- [j3]Yuzhu Tian, Er'qian Li, Maozai Tian:
Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates. Comput. Stat. 31(3): 1031-1057 (2016) - 2015
- [j2]Yuzhu Tian, Qianqian Zhu
Estimation for mixed exponential distributions under type-II progressively hybrid censored samples. Comput. Stat. Data Anal. 89: 85-96 (2015) - 2014
- [j1]Yuzhu Tian, Maozai Tian, Qianqian Zhu
Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution. Commun. Stat. Simul. Comput. 43(10): 2661-2677 (2014)
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