Yuzhu Tian

According to our database, Yuzhu Tian authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Bayesian relative composite quantile regression approach of ordinal latent regression model with <i>L</i>_1/2 regularization.

Yuzhu Tian, Chun-Ho Wu, Ling-Nan Tai, Zhibao Mian, Maozai Tian

Stat. Anal. Data Min., April, 2024

Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model.

Niu Xiaoyu, Yuzhu Tian, Man-Lai Tang, Maozai Tian

Stat. Anal. Data Min., February, 2024

A literature review of fault diagnosis based on ensemble learning.

Zhibao Mian, Xiaofei Deng, Xiaohui Dong, Yuzhu Tian, Tianya Cao, Kairan Chen, Tareq Aljaber

Eng. Appl. Artif. Intell., January, 2024

2023

A class of three-term derivative-free methods for large-scale nonlinear monotone system of equations and applications to image restoration problems.

Xiaoliang Wang, Yuzhu Tian, Liping Pang

J. Appl. Math. Comput., February, 2023

2021

Correction to: Bayesian joint inference for multivariate quantile regression model with L_1/2 penalty.

Yuzhu Tian, Man-Lai Tang, Maozai Tian

Comput. Stat., 2021

Bayesian joint inference for multivariate quantile regression model with L_1/2 penalty.

Yuzhu Tian, Man-Lai Tang, Maozai Tian

Comput. Stat., 2021

Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings.

Yuzhu Tian, Man-Lai Tang, Wai-Sum Chan, Maozai Tian

Comput. Stat., 2021

Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies.

Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian

Commun. Stat. Simul. Comput., 2021

2020

Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data.

Aijun Yang, Yuzhu Tian, Yunxian Li, Jinguan Lin

Comput. Stat., 2020

Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm.

Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian

Commun. Stat. Simul. Comput., 2020

Bayesian bridge-randomized penalized quantile regression.

Yuzhu Tian, Xinyuan Song

Comput. Stat. Data Anal., 2020

2019

Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors.

Yuzhu Tian, Silian Shen, Ge Lu, Man-Lai Tang, Maozai Tian

Commun. Stat. Simul. Comput., 2019

2018

Quantile regression for linear models with autoregressive errors using EM algorithm.

Yuzhu Tian, Man-Lai Tang, Yanchao Zang, Maozai Tian

Comput. Stat., 2018

Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies.

Yuzhu Tian, Man-Lai Tang, Maozai Tian

Comput. Stat., 2018

2016

Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates.

Yuzhu Tian, Er'qian Li, Maozai Tian

Comput. Stat., 2016

2015

Estimation for mixed exponential distributions under type-II progressively hybrid censored samples.

Yuzhu Tian, Qianqian Zhu, Maozai Tian

Comput. Stat. Data Anal., 2015

2014

Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution.

Yuzhu Tian, Maozai Tian, Qianqian Zhu

Commun. Stat. Simul. Comput., 2014