Maozai Tian

31 papers Journal 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tensor-on-vector regression with interactions with application to fMRI data.
J. Multivar. Anal.
Jinwen Liang, Keming Yu, Jianxin Pan, Wolfgang Karl Härdle, Maozai Tian
2025 J jnl
Double sparsity garrotized kernel machine in high-dimensional partially linear model.
Commun. Stat. Simul. Comput.
Xinyi Zhao, Yaohua Rong, Junze Lin, Maozai Tian, Jinwen Liang
2025 J jnl
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression.
Comput. Stat. Data Anal.
Ling-Nan Tai, Li Tao, Jianxin Pan, Man-Lai Tang, Keming Yu, Wolfgang Karl Härdle, Maozai Tian
2025 J jnl
Leveraging single-case results to Bayesian hierarchical modelling.
Comput. Stat.
Shijing Si, Jia-Wen Gu, Maozai Tian
2025 J jnl
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis.
Stat. Anal. Data Min.
Xinran Cai, Yuzhu Tian, Yue Wang, Maozai Tian
2025 J jnl
Variational Bayesian Quantile Regression with Non-Ignorable Missing Response Data.
Axioms
Juanjuan Zhang, Weixian Wang, Maozai Tian
2024 J jnl
Bayesian relative composite quantile regression approach of ordinal latent regression model with
Stat. Anal. Data Min.
Yuzhu Tian, Chun-Ho Wu, Ling-Nan Tai, Zhibao Mian, Maozai Tian
2024 J jnl
Imputed quantile vector autoregressive model for multivariate spatial-temporal data.
Stat. Anal. Data Min.
Jinwen Liang, Maozai Tian
2024 J jnl
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model.
Stat. Anal. Data Min.
Niu Xiaoyu, Yuzhu Tian, Man-Lai Tang, Maozai Tian
2024 J jnl
Mutual information maximization for semi-supervised anomaly detection.
Knowl. Based Syst.
Shuo Liu, Maozai Tian
2024 J jnl
Quantile regression for partially linear varying coefficient spatial autoregressive models.
Commun. Stat. Simul. Comput.
Xiaowen Dai, Shaoyang Li, Libin Jin, Maozai Tian
2023 J jnl
Imputed quantile tensor regression for near-sited spatial-temporal data.
Comput. Stat. Data Anal.
Jinwen Liang, Wolfgang Karl Härdle, Maozai Tian
2021 J jnl
Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings.
Comput. Stat.
Yuzhu Tian, Man-Lai Tang, Wai-Sum Chan, Maozai Tian
2021 J jnl
Bayesian joint inference for multivariate quantile regression model with L
Comput. Stat.
Yuzhu Tian, Man-Lai Tang, Maozai Tian
2021 J jnl
Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates.
Comput. Stat. Data Anal.
Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian, Ye Fan
2021 J jnl
Correction to: Bayesian joint inference for multivariate quantile regression model with L
Comput. Stat.
Yuzhu Tian, Man-Lai Tang, Maozai Tian
2021 J jnl
Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies.
Commun. Stat. Simul. Comput.
Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian
2020 J jnl
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates.
CoRR
Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian
2020 J jnl
Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm.
Commun. Stat. Simul. Comput.
Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian
2019 J jnl
Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors.
Commun. Stat. Simul. Comput.
Yuzhu Tian, Silian Shen, Ge Lu, Man-Lai Tang, Maozai Tian
2018 J jnl
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.
Yuzhu Tian, Man-Lai Tang, Maozai Tian
2018 J jnl
Quantile regression for linear models with autoregressive errors using EM algorithm.
Comput. Stat.
Yuzhu Tian, Man-Lai Tang, Yanchao Zang, Maozai Tian
2017 J jnl
An effective method to reduce the computational complexity of composite quantile regression.
Comput. Stat.
Yanke Wu, Maozai Tian
2016 J jnl
Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates.
Comput. Stat.
Yuzhu Tian, Er'qian Li, Maozai Tian
2016 J jnl
Heteroscedasticity Detection and Estimation with Quantile Difference Method.
J. Syst. Sci. Complex.
Wentao Xia, Wei Xiong, Maozai Tian
2015 J jnl
Estimation for mixed exponential distributions under type-II progressively hybrid censored samples.
Comput. Stat. Data Anal.
Yuzhu Tian, Qianqian Zhu, Maozai Tian
2014 J jnl
Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution.
Commun. Stat. Simul. Comput.
Yuzhu Tian, Maozai Tian, Qianqian Zhu
2013 J jnl
Variable selection in high-dimensional partially linear additive models for composite quantile regression.
Comput. Stat. Data Anal.
Jie Guo, Man-Lai Tang, Maozai Tian, Kai Zhu
2012 J jnl
Lack-of-fit tests based on weighted ratio of residuals and variances.
J. Syst. Sci. Complex.
Maozai Tian, Youxi Luo, Yunan Su, Yan Fan, Junlin Han
2010 J jnl
Approximate confidence interval construction for risk difference under inverse sampling.
Stat. Comput.
Man-Lai Tang, Maozai Tian
2009 J jnl
Asymptotic confidence interval construction for risk difference under inverse sampling.
Comput. Stat. Data Anal.
Man-Lai Tang, Maozai Tian