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2020 – today
- 2023
[j33]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: 107650 (2023)- [j32]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): 5195-5212 (2023) - [j31]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): 1265-1284 (2023) - 2022
- [j30]Mingqiu Wang, Xiaoning Kang, Guo-Liang Tian:
Modified adaptive group lasso for high-dimensional varying coefficient models. Commun. Stat. Simul. Comput. 51(11): 6495-6510 (2022) - [i1]Xunjian LI, Guo-Liang Tian:
The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence. CoRR abs/2212.00797 (2022) - 2020
- [j29]Guanghui Cheng, Baisen Liu, Guo-Liang Tian, Shurong Zheng:
Testing proportionality of two high-dimensional covariance matrices. Comput. Stat. Data Anal. 150: 106962 (2020) - [j28]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) - [j27]Xuanyu Liu, Guo-Liang Tian, Yu Fei, Lianjie Shu, Qiang Zhao:
Folded normal regression models with applications in biomedicine. J. Comput. Appl. Math. 379: 112941 (2020)
2010 – 2019
- 2019
- [j26]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: 122-143 (2019) - [j25]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): 1393-1426 (2019) - 2018
- [j24]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: 69-81 (2018) - [j23]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: 132-153 (2018) - 2017
- [j22]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): 6011-6018 (2017) - 2016
- [j21]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: 25-37 (2016) - [j20]Liu-Cang Wu, Zhongzhan Zhang, Guo-Liang Tian, Dengke Xu:
A Robust Variable Selection to t-type Joint Generalized Linear Models via Penalized t-type Pseudo-likelihood. Commun. Stat. Simul. Comput. 45(7): 2320-2337 (2016) - [j19]Yan-Qing Zhang, Guo-Liang Tian, Nian-Sheng Tang:
Latent variable selection in structural equation models. J. Multivar. Anal. 152: 190-205 (2016) - 2015
- [j18]Yin Liu, Guo-Liang Tian:
Type I multivariate zero-inflated Poisson distribution with applications. Comput. Stat. Data Anal. 83: 200-222 (2015) - [j17]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: 135-151 (2015) - [j16]Guo-Liang Tian, Huijuan Ma, Yong Zhou, Dianliang Deng:
Generalized endpoint-inflated binomial model. Comput. Stat. Data Anal. 89: 97-114 (2015) - 2014
- [j15]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: 293-308 (2014) - 2013
- [j14]Yin Liu, Guo-Liang Tian:
A variant of the parallel model for sample surveys with sensitive characteristics. Comput. Stat. Data Anal. 67: 115-135 (2013) - [j13]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): 425-453 (2013) - 2012
- [j12]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): 255-265 (2012) - 2011
- [j11]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): 3381-3385 (2011) - 2010
- [j10]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): 394-405 (2010) - [j9]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): 1066-1078 (2010)
2000 – 2009
- 2009
- [j8]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): 3314-3323 (2009) - [j7]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): 1854-1865 (2009) - 2008
- [j6]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): 1587-1603 (2008) - [j5]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): 3528-3542 (2008) - [j4]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): 4768-4778 (2008) - 2007
- [j3]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): 2919-2933 (2007) - [j2]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): 4254-4268 (2007) - 2006
- [j1]Ming Tan, Guo-Liang Tian, Kai Wang Ng:
Hierarchical models for repeated binary data using the IBF sampler. Comput. Stat. Data Anal. 50(5): 1272-1286 (2006) - 2002
- [c1]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: 1953-1955
Coauthor Index
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