Maozai Tian

Orcid: 0000-0002-0515-4477

According to our database1, Maozai Tian authored at least 23 papers between 2009 and 2024.

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

Timeline

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PhD thesis 
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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

Imputed quantile vector autoregressive model for multivariate spatial-temporal data.
Stat. Anal. Data Min., February, 2024

2023
Imputed quantile tensor regression for near-sited spatial-temporal data.
Comput. Stat. Data Anal., June, 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

Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates.
Comput. Stat. Data Anal., 2021

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

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

2017
An effective method to reduce the computational complexity of composite quantile regression.
Comput. Stat., 2017

2016
Heteroscedasticity Detection and Estimation with Quantile Difference Method.
J. Syst. Sci. Complex., 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

2013
Variable selection in high-dimensional partially linear additive models for composite quantile regression.
Comput. Stat. Data Anal., 2013

2012
Lack-of-fit tests based on weighted ratio of residuals and variances.
J. Syst. Sci. Complex., 2012

2010
Approximate confidence interval construction for risk difference under inverse sampling.
Stat. Comput., 2010

2009
Asymptotic confidence interval construction for risk difference under inverse sampling.
Comput. Stat. Data Anal., 2009


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