Asymptotic confidence interval construction for risk difference under inverse sampling. - Man-Lai Tang; Maozai Tian (Comput. Stat. Data Anal., 2009)

Approximate confidence interval construction for risk difference under inverse sampling. - Man-Lai Tang; Maozai Tian (Stat. Comput., 2010)

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)

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)

Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution. - Yuzhu Tian; Maozai Tian; Qianqian Zhu (Commun. Stat. Simul. Comput., 2014)

Estimation for mixed exponential distributions under type-II progressively hybrid censored samples. - Yuzhu Tian; Qianqian Zhu; Maozai Tian (Comput. Stat. Data Anal., 2015)

Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates. - Yuzhu Tian; Er'qian Li; Maozai Tian (Comput. Stat., 2016)

Heteroscedasticity Detection and Estimation with Quantile Difference Method. - Wentao Xia; Wei Xiong; Maozai Tian (J. Syst. Sci. Complex., 2016)

An effective method to reduce the computational complexity of composite quantile regression. - Yanke Wu; Maozai Tian (Comput. Stat., 2017)

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)

Quantile regression for linear models with autoregressive errors using EM algorithm. - Yuzhu Tian; Man-Lai Tang; Yanchao Zang; Maozai Tian (Comput. Stat., 2018)

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)

Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates. - Ping Zhou; Zhen Yu; Jingyi Ma; Maozai Tian (CoRR, 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; Ye Fan (Comput. Stat. Data Anal., 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)

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 001; Maozai Tian (Comput. Stat., 2021)

Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. - Yuzhu Tian; Man-Lai Tang; Maozai Tian (Comput. Stat., 2021)

Correction to: Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. - Yuzhu Tian; Man-Lai Tang; Maozai Tian (Comput. Stat., 2021)

Imputed quantile tensor regression for near-sited spatial-temporal data. - Jinwen Liang; Wolfgang Karl Härdle; Maozai Tian (Comput. Stat. Data Anal., 2023)

Mutual information maximization for semi-supervised anomaly detection. - Shuo Liu; Maozai Tian (Knowl. Based Syst., 2024)

Imputed quantile vector autoregressive model for multivariate spatial-temporal data. - Jinwen Liang; Maozai Tian (Stat. Anal. Data Min., 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., 2024)

Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization. - Yuzhu Tian; Chun-Ho Wu; Ling-Nan Tai; Zhibao Mian; Maozai Tian (Stat. Anal. Data Min., 2024)

Quantile regression for partially linear varying coefficient spatial autoregressive models. - Xiaowen Dai; Shaoyang Li; Libin Jin; Maozai Tian (Commun. Stat. Simul. Comput., 2024)

Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression. - Ling-Nan Tai; Li Tao; Jianxin Pan; Man-Lai Tang; Keming Yu; Wolfgang Karl Härdle; Maozai Tian (Comput. Stat. Data Anal., 2025)

Leveraging single-case results to Bayesian hierarchical modelling. - Shijing Si; Jia-Wen Gu; Maozai Tian (Comput. Stat., 2025)

The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis. - Xinran Cai; Yuzhu Tian; Yue Wang; Maozai Tian (Stat. Anal. Data Min., 2025)