Yuzhu Tian

Orcid: 0000-0002-6173-0985

According to our database1, Yuzhu Tian authored at least 17 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Bayesian relative composite quantile regression approach of ordinal latent regression model with <i>L</i><sub>1/2</sub> regularization.
Stat. Anal. Data Min., April, 2024

Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model.
Stat. Anal. Data Min., February, 2024

A literature review of fault diagnosis based on ensemble learning.
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.
J. Appl. Math. Comput., February, 2023

2021
Correction to: Bayesian joint inference for multivariate quantile regression model with L<sub>1/2</sub> penalty.
Comput. Stat., 2021

Bayesian joint inference for multivariate quantile regression model with L<sub>1/2</sub> penalty.
Comput. Stat., 2021

Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings.
Comput. Stat., 2021

Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies.
Commun. Stat. Simul. Comput., 2021

2020
Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data.
Comput. Stat., 2020

Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm.
Commun. Stat. Simul. Comput., 2020

Bayesian bridge-randomized penalized quantile regression.
Comput. Stat. Data Anal., 2020

2019
Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors.
Commun. Stat. Simul. Comput., 2019

2018
Quantile regression for linear models with autoregressive errors using EM algorithm.
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.
Comput. Stat., 2018

2016
Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates.
Comput. Stat., 2016

2015
Estimation for mixed exponential distributions under type-II progressively hybrid censored samples.
Comput. Stat. Data Anal., 2015

2014
Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution.
Commun. Stat. Simul. Comput., 2014


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