Guo-Liang Tian

According to our database, Guo-Liang Tian authored at least 35 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Valid statistical inference methods for incomplete contingency table with three-category missing data.

Xifen Huang, Jiajuan Liang, Guo-Liang Tian

Commun. Stat. Simul. Comput., November, 2023

Penalized M-Estimation Based on Standard Error Adjusted Adaptive Elastic-Net.

Xianjun Wu, Mingqiu Wang, Wenting Hu, Guo-Liang Tian, Tao Li

J. Syst. Sci. Complex., June, 2023

Mean regression model for the zero-truncated Poisson distribution and its generalization.

Xunjian LI, Yuan Sun, Guo-Liang Tian, Jiajuan Liang, Jianhua Shi

Comput. Stat. Data Anal., 2023

2022

Modified adaptive group lasso for high-dimensional varying coefficient models.

Mingqiu Wang, Xiaoning Kang, Guo-Liang Tian

Commun. Stat. Simul. Comput., 2022

The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence.

Xunjian LI, Guo-Liang Tian

CoRR, 2022

2020

Multivariate zero-and-one inflated Poisson model with applications.

Chi Zhang, Guo-Liang Tian, Kam Chuen Yuen, Qin Wu, Tao Li

J. Comput. Appl. Math., 2020

Folded normal regression models with applications in biomedicine.

Xuanyu Liu, Guo-Liang Tian, Yu Fei, Lianjie Shu, Qiang Zhao

J. Comput. Appl. Math., 2020

Testing proportionality of two high-dimensional covariance matrices.

Guanghui Cheng, Baisen Liu, Guo-Liang Tian, Shurong Zheng

Comput. Stat. Data Anal., 2020

2019

Some new statistical methods for a class of zero-truncated discrete distributions with applications.

Guo-Liang Tian, Xiqian Ding, Yin Liu, Man-Lai Tang

Comput. Stat., 2019

A novel MM algorithm and the mode-sharing method in Bayesian computation for the analysis of general incomplete categorical data.

Guo-Liang Tian, Yin Liu, Man-Lai Tang, Tao Li

Comput. Stat. Data Anal., 2019

2018

Type I multivariate zero-truncated/adjusted Poisson distributions with applications.

Guo-Liang Tian, Yin Liu, Man-Lai Tang, Xuejun Jiang

J. Comput. Appl. Math., 2018

Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism.

Hui-Qiong Li, Guo-Liang Tian, Niansheng Tang, Hongyuan Cao

Comput. Stat. Data Anal., 2018

2017

A stochastic representation for the lp-norm symmetric distribution and its applications.

Jiajuan Liang, Kai Wang Ng, Guo-Liang Tian

Commun. Stat. Simul. Comput., 2017

2016

Latent variable selection in structural equation models.

Yan-Qing Zhang, Guo-Liang Tian, Nian-Sheng Tang

J. Multivar. Anal., 2016

A Robust Variable Selection to <i>t</i>-type Joint Generalized Linear Models via Penalized <i>t</i>-type Pseudo-likelihood.

Liu-Cang Wu, Zhongzhan Zhang, Guo-Liang Tian, Dengke Xu

Commun. Stat. Simul. Comput., 2016

Testing hypothesis for a simple ordering in incomplete contingency tables.

Hui-Qiong Li, Guo-Liang Tian, Xuejun Jiang, Nian-Sheng Tang

Comput. Stat. Data Anal., 2016

2015

Generalized endpoint-inflated binomial model.

Guo-Liang Tian, Huijuan Ma, Yong Zhou, Dianliang Deng

Comput. Stat. Data Anal., 2015

Type I multivariate zero-inflated Poisson distribution with applications.

Yin Liu, Guo-Liang Tian

Comput. Stat. Data Anal., 2015

A new MM algorithm for constrained estimation in the proportional hazards model.

Jieli Ding, Guo-Liang Tian, Kam Chuen Yuen

Comput. Stat. Data Anal., 2015

2014

A new test for the proportionality of two large-dimensional covariance matrices.

Baisen Liu, Lin Xu, Shurong Zheng, Guo-Liang Tian

J. Multivar. Anal., 2014

2013

A Confidence Interval Approach for Comparative Studies Involving Binary Outcomes in Paired Organs.

Man-Lai Tang, Xinjie He, Guo-Liang Tian

Commun. Stat. Simul. Comput., 2013

A variant of the parallel model for sample surveys with sensitive characteristics.

Yin Liu, Guo-Liang Tian

Comput. Stat. Data Anal., 2013

2012

Accelerating the quadratic lower-bound algorithm via optimizing the shrinkage parameter.

Guo-Liang Tian, Man-Lai Tang, Catherine Chunling Liu

Comput. Stat. Data Anal., 2012

2011

A note on the binomial model with simplex constraints.

Guo-Liang Tian, Kai Wang Ng, Philip L. H. Yu

Comput. Stat. Data Anal., 2011

2010

Further properties and new applications of the nested Dirichlet distribution.

Guo-Liang Tian, Man-Lai Tang, Kam Chuen Yuen, Kai Wang Ng

Comput. Stat. Data Anal., 2010

Unified generalized iterative scaling and its applications.

Wei Gao, Ning-Zhong Shi, Man-Lai Tang, Lianyan Fu, Guo-Liang Tian

Comput. Stat. Data Anal., 2010

2009

Uniform distributions in a class of convex polyhedrons with applications to drug combination studies.

Guo-Liang Tian, Hong-Bin Fang, Ming Tan, Hong Qin, Man-Lai Tang

J. Multivar. Anal., 2009

Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome.

Guo-Liang Tian, Kai Wang Ng, Kai-Can Li, Ming Tan

Comput. Stat. Data Anal., 2009

2008

Statistical inference and prediction for the Weibull process with incomplete observations.

Jun-Wu Yu, Guo-Liang Tian, Man-Lai Tang

Comput. Stat. Data Anal., 2008

Efficient methods for estimating constrained parameters with applications to regularized (lasso) logistic regression.

Guo-Liang Tian, Man-Lai Tang, Hong-Bin Fang, Ming Tan

Comput. Stat. Data Anal., 2008

EM-type algorithms for computing restricted MLEs in multivariate normal distributions and multivariate t-distributions.

Guo-Liang Tian, Kai Wang Ng, Ming Tan

Comput. Stat. Data Anal., 2008

2007

Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach.

Jun-Wu Yu, Guo-Liang Tian, Man-Lai Tang

Comput. Stat. Data Anal., 2007

On improved EM algorithm and confidence interval construction for incomplete r.

Man-Lai Tang, Kai Wang Ng, Guo-Liang Tian, Ming Tan

Comput. Stat. Data Anal., 2007

2006

Hierarchical models for repeated binary data using the IBF sampler.

Ming Tan, Guo-Liang Tian, Kai Wang Ng

Comput. Stat. Data Anal., 2006

2002

An applied vegetation canopy model and its application in inversion of vegetation coverage and water content.

Ruru Deng, Qinhuo Liu, Guo-Liang Tian, Xiaozhou Xin, Qiang Liu, Hua Gong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002