Guo-Liang Tian

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 16

Top Topics

Regression Model

Contingency Tables

Statistical Inference

Top Venues

Comput. Stat. Data Anal.

Commun. Stat. Simul. Comput.

J. Comput. Appl. Math.

J. Multivar. Anal.

Publications

Xianjun Wu, Mingqiu Wang, Wenting Hu, Guo-Liang Tian, Tao Li
Penalized M-Estimation Based on Standard Error Adjusted Adaptive Elastic-Net. J. Syst. Sci. Complex. 36 (3) (2023)
Xunjian LI, Yuan Sun, Guo-Liang Tian, Jiajuan Liang, Jianhua Shi
Mean regression model for the zero-truncated Poisson distribution and its generalization. Comput. Stat. Data Anal. 179 (2023)
Xifen Huang, Jiajuan Liang, Guo-Liang Tian
Valid statistical inference methods for incomplete contingency table with three-category missing data. Commun. Stat. Simul. Comput. 52 (11) (2023)
Mingqiu Wang, Xiaoning Kang, Guo-Liang Tian
Modified adaptive group lasso for high-dimensional varying coefficient models. Commun. Stat. Simul. Comput. 51 (11) (2022)
Xunjian LI, Guo-Liang Tian
The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence. CoRR (2022)
Chi Zhang, Guo-Liang Tian, Kam Chuen Yuen, Qin Wu, Tao Li
Multivariate zero-and-one inflated Poisson model with applications. J. Comput. Appl. Math. 365 (2020)
Xuanyu Liu, Guo-Liang Tian, Yu Fei, Lianjie Shu, Qiang Zhao
Folded normal regression models with applications in biomedicine. J. Comput. Appl. Math. 379 (2020)
Guanghui Cheng, Baisen Liu, Guo-Liang Tian, Shurong Zheng
Testing proportionality of two high-dimensional covariance matrices. Comput. Stat. Data Anal. 150 (2020)
Guo-Liang Tian, Yin Liu, Man-Lai Tang, Tao Li
A novel MM algorithm and the mode-sharing method in Bayesian computation for the analysis of general incomplete categorical data. Comput. Stat. Data Anal. 140 (2019)
Guo-Liang Tian, Xiqian Ding, Yin Liu, Man-Lai Tang
Some new statistical methods for a class of zero-truncated discrete distributions with applications. Comput. Stat. 34 (3) (2019)
Hui-Qiong Li, Guo-Liang Tian, Niansheng Tang, Hongyuan Cao
Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism. Comput. Stat. Data Anal. 127 (2018)
Guo-Liang Tian, Yin Liu, Man-Lai Tang, Xuejun Jiang
Type I multivariate zero-truncated/adjusted Poisson distributions with applications. J. Comput. Appl. Math. 344 (2018)
Jiajuan Liang, Kai Wang Ng, Guo-Liang Tian
A stochastic representation for the lp-norm symmetric distribution and its applications. Commun. Stat. Simul. Comput. 46 (8) (2017)
Hui-Qiong Li, Guo-Liang Tian, Xuejun Jiang, Nian-Sheng Tang
Testing hypothesis for a simple ordering in incomplete contingency tables. Comput. Stat. Data Anal. 99 (2016)
Liu-Cang Wu, Zhongzhan Zhang, Guo-Liang Tian, Dengke Xu
-type Pseudo-likelihood. Commun. Stat. Simul. Comput. 45 (7) (2016)
Yan-Qing Zhang, Guo-Liang Tian, Nian-Sheng Tang
Latent variable selection in structural equation models. J. Multivar. Anal. 152 (2016)
Guo-Liang Tian, Huijuan Ma, Yong Zhou, Dianliang Deng
Generalized endpoint-inflated binomial model. Comput. Stat. Data Anal. 89 (2015)
Jieli Ding, Guo-Liang Tian, Kam Chuen Yuen
A new MM algorithm for constrained estimation in the proportional hazards model. Comput. Stat. Data Anal. 84 (2015)
Yin Liu, Guo-Liang Tian
Type I multivariate zero-inflated Poisson distribution with applications. Comput. Stat. Data Anal. 83 (2015)
Baisen Liu, Lin Xu, Shurong Zheng, Guo-Liang Tian
A new test for the proportionality of two large-dimensional covariance matrices. J. Multivar. Anal. 131 (2014)
Yin Liu, Guo-Liang Tian
A variant of the parallel model for sample surveys with sensitive characteristics. Comput. Stat. Data Anal. 67 (2013)
Man-Lai Tang, Xinjie He, Guo-Liang Tian
A Confidence Interval Approach for Comparative Studies Involving Binary Outcomes in Paired Organs. Commun. Stat. Simul. Comput. 42 (2) (2013)
Guo-Liang Tian, Man-Lai Tang, Catherine Chunling Liu
Accelerating the quadratic lower-bound algorithm via optimizing the shrinkage parameter. Comput. Stat. Data Anal. 56 (2) (2012)
Guo-Liang Tian, Kai Wang Ng, Philip L. H. Yu
A note on the binomial model with simplex constraints. Comput. Stat. Data Anal. 55 (12) (2011)
Wei Gao, Ning-Zhong Shi, Man-Lai Tang, Lianyan Fu, Guo-Liang Tian
Unified generalized iterative scaling and its applications. Comput. Stat. Data Anal. 54 (4) (2010)
Guo-Liang Tian, Man-Lai Tang, Kam Chuen Yuen, Kai Wang Ng
Further properties and new applications of the nested Dirichlet distribution. Comput. Stat. Data Anal. 54 (2) (2010)
Guo-Liang Tian, Hong-Bin Fang, Ming Tan, Hong Qin, Man-Lai Tang
Uniform distributions in a class of convex polyhedrons with applications to drug combination studies. J. Multivar. Anal. 100 (8) (2009)
Guo-Liang Tian, Kai Wang Ng, Kai-Can Li, Ming Tan
Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome. Comput. Stat. Data Anal. 53 (9) (2009)
Jun-Wu Yu, Guo-Liang Tian, Man-Lai Tang
Statistical inference and prediction for the Weibull process with incomplete observations. Comput. Stat. Data Anal. 52 (3) (2008)
Guo-Liang Tian, Kai Wang Ng, Ming Tan
EM-type algorithms for computing restricted MLEs in multivariate normal distributions and multivariate t-distributions. Comput. Stat. Data Anal. 52 (10) (2008)
Guo-Liang Tian, Man-Lai Tang, Hong-Bin Fang, Ming Tan
Efficient methods for estimating constrained parameters with applications to regularized (lasso) logistic regression. Comput. Stat. Data Anal. 52 (7) (2008)
Man-Lai Tang, Kai Wang Ng, Guo-Liang Tian, Ming Tan
On improved EM algorithm and confidence interval construction for incomplete r. Comput. Stat. Data Anal. 51 (6) (2007)
Jun-Wu Yu, Guo-Liang Tian, Man-Lai Tang
Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach. Comput. Stat. Data Anal. 51 (9) (2007)
Ming Tan, Guo-Liang Tian, Kai Wang Ng
Hierarchical models for repeated binary data using the IBF sampler. Comput. Stat. Data Anal. 50 (5) (2006)
Ruru Deng, Qinhuo Liu, Guo-Liang Tian, Xiaozhou Xin, Qiang Liu, Hua Gong
An applied vegetation canopy model and its application in inversion of vegetation coverage and water content. IGARSS (2002)