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Maozai Tian
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2020 – today
- 2024
- [j24]Xiaowen Dai, Shaoyang Li, Libin Jin, Maozai Tian:
Quantile regression for partially linear varying coefficient spatial autoregressive models. Commun. Stat. Simul. Comput. 53(9): 4396-4411 (2024) - [j23]Shuo Liu, Maozai Tian:
Mutual information maximization for semi-supervised anomaly detection. Knowl. Based Syst. 284: 111196 (2024) - [j22]Jinwen Liang, Maozai Tian:
Imputed quantile vector autoregressive model for multivariate spatial-temporal data. Stat. Anal. Data Min. 17(1) (2024) - [j21]Niu Xiaoyu, Yuzhu Tian, Man-Lai Tang, Maozai Tian:
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model. Stat. Anal. Data Min. 17(1) (2024) - [j20]Yuzhu Tian, Chun-Ho Wu, Ling-Nan Tai, Zhibao Mian, Maozai Tian:
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization. Stat. Anal. Data Min. 17(2) (2024) - 2023
- [j19]Jinwen Liang, Wolfgang Karl Härdle, Maozai Tian:
Imputed quantile tensor regression for near-sited spatial-temporal data. Comput. Stat. Data Anal. 182: 107713 (2023) - 2021
- [j18]Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian, Ye Fan:
Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates. Comput. Stat. Data Anal. 157: 107154 (2021) - [j17]Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian:
Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies. Commun. Stat. Simul. Comput. 50(6): 1837-1853 (2021) - [j16]Yuzhu Tian, Man-Lai Tang, Wai-Sum Chan, Maozai Tian:
Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings. Comput. Stat. 36(2): 1289-1319 (2021) - [j15]Yuzhu Tian, Man-Lai Tang, Maozai Tian:
Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. Comput. Stat. 36(4): 2967-2994 (2021) - [j14]Yuzhu Tian, Man-Lai Tang, Maozai Tian:
Correction to: Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. Comput. Stat. 36(4): 2995 (2021) - 2020
- [j13]Yuzhu Tian, Liyong Wang, Man-Lai Tang, Maozai Tian:
Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm. Commun. Stat. Simul. Comput. 49(2): 317-334 (2020) - [i1]Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian:
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates. CoRR abs/2001.06194 (2020)
2010 – 2019
- 2019
- [j12]Yuzhu Tian, Silian Shen, Ge Lu, Man-Lai Tang, Maozai Tian:
Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors. Commun. Stat. Simul. Comput. 48(3): 777-796 (2019) - 2018
- [j11]Yuzhu Tian, Man-Lai Tang, Maozai Tian:
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. 33(4): 1563-1587 (2018) - [j10]Yuzhu Tian, Man-Lai Tang, Yanchao Zang, Maozai Tian:
Quantile regression for linear models with autoregressive errors using EM algorithm. Comput. Stat. 33(4): 1605-1625 (2018) - 2017
- [j9]Yanke Wu, Maozai Tian:
An effective method to reduce the computational complexity of composite quantile regression. Comput. Stat. 32(4): 1375-1393 (2017) - 2016
- [j8]Yuzhu Tian, Er'qian Li, Maozai Tian:
Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates. Comput. Stat. 31(3): 1031-1057 (2016) - [j7]Wentao Xia, Wei Xiong, Maozai Tian:
Heteroscedasticity Detection and Estimation with Quantile Difference Method. J. Syst. Sci. Complex. 29(2): 511-530 (2016) - 2015
- [j6]Yuzhu Tian, Qianqian Zhu, Maozai Tian:
Estimation for mixed exponential distributions under type-II progressively hybrid censored samples. Comput. Stat. Data Anal. 89: 85-96 (2015) - 2014
- [j5]Yuzhu Tian, Maozai Tian, Qianqian Zhu:
Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution. Commun. Stat. Simul. Comput. 43(10): 2661-2677 (2014) - 2013
- [j4]Jie Guo, Man-Lai Tang, Maozai Tian, Kai Zhu:
Variable selection in high-dimensional partially linear additive models for composite quantile regression. Comput. Stat. Data Anal. 65: 56-67 (2013) - 2012
- [j3]Maozai Tian, Youxi Luo, Yunan Su, Yan Fan, Junlin Han:
Lack-of-fit tests based on weighted ratio of residuals and variances. J. Syst. Sci. Complex. 25(6): 1202-1214 (2012) - 2010
- [j2]Man-Lai Tang, Maozai Tian:
Approximate confidence interval construction for risk difference under inverse sampling. Stat. Comput. 20(1): 87-98 (2010)
2000 – 2009
- 2009
- [j1]Man-Lai Tang, Maozai Tian:
Asymptotic confidence interval construction for risk difference under inverse sampling. Comput. Stat. Data Anal. 53(3): 621-631 (2009)
Coauthor Index
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