Maozai Tian

According to our database, Maozai Tian authored at least 25 papers between 2009 and 2024.

Collaborative distances:

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

2024

Quantile regression for partially linear varying coefficient spatial autoregressive models.

Xiaowen Dai, Shaoyang Li, Libin Jin, Maozai Tian

Commun. Stat. Simul. Comput., September, 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

Imputed quantile vector autoregressive model for multivariate spatial-temporal data.

Jinwen Liang, Maozai Tian

Stat. Anal. Data Min., February, 2024

Mutual information maximization for semi-supervised anomaly detection.

Shuo Liu, Maozai Tian

Knowl. Based Syst., 2024

2023

Imputed quantile tensor regression for near-sited spatial-temporal data.

Jinwen Liang, Wolfgang Karl Härdle, Maozai Tian

Comput. Stat. Data Anal., June, 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

Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates.

Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian, Ye Fan

Comput. Stat. Data Anal., 2021

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

Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates.

Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian

CoRR, 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

2017

An effective method to reduce the computational complexity of composite quantile regression.

Yanke Wu, Maozai Tian

Comput. Stat., 2017

2016

Heteroscedasticity Detection and Estimation with Quantile Difference Method.

Wentao Xia, Wei Xiong, Maozai Tian

J. Syst. Sci. Complex., 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

2013

Variable selection in high-dimensional partially linear additive models for composite quantile regression.

Jie Guo, Man-Lai Tang, Maozai Tian, Kai Zhu

Comput. Stat. Data Anal., 2013

2012

Lack-of-fit tests based on weighted ratio of residuals and variances.

Maozai Tian, Youxi Luo, Yunan Su, Yan Fan, Junlin Han

J. Syst. Sci. Complex., 2012

2010

Approximate confidence interval construction for risk difference under inverse sampling.

Man-Lai Tang, Maozai Tian

Stat. Comput., 2010

2009

Asymptotic confidence interval construction for risk difference under inverse sampling.

Man-Lai Tang, Maozai Tian

Comput. Stat. Data Anal., 2009