Guo-Liang Tian

发表

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

Baisen Liu, Lin Xu, Shurong Zheng, 2014, J. Multivar. Anal..

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

Yin Liu, Guo-Liang Tian, G. Tian, 2013, Comput. Stat. Data Anal..

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

Man-Lai Tang, Guo-Liang Tian, Jun-Wu Yu, 2007, Comput. Stat. Data Anal..

On improved EM algorithm and confidence interval construction for incomplete r

Man-Lai Tang, Guo-Liang Tian, Kai Wang Ng, 2007, Comput. Stat. Data Anal..

Testing proportionality of two high-dimensional covariance matrices

Baisen Liu, Guanghui Cheng, Shurong Zheng, 2020, Comput. Stat. Data Anal..

Testing hypothesis for a simple ordering in incomplete contingency tables

Nian-Sheng Tang, Guo-Liang Tian, Hui-Qiong Li, 2016, Comput. Stat. Data Anal..

Further properties and new applications of the nested Dirichlet distribution

Man-Lai Tang, Guo-Liang Tian, Kai Wang Ng, 2010, Comput. Stat. Data Anal..

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

Man-Lai Tang, Guo-Liang Tian, Xinjie He, 2013, Commun. Stat. Simul. Comput..

Efficient statistical inference for a parallel study with missing data by using an exact method

Guo-Liang Tian, Guogen Shan, Alan Hutson, 2019, Journal of biopharmaceutical statistics.

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

Ming Tan, Guo-Liang Tian, Kai Wang Ng, 2009, Comput. Stat. Data Anal..

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

Guo-Liang Tian, Jieli Ding, Kam Chuen Yuen, 2015, Comput. Stat. Data Anal..

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

Yin Liu, Man-Lai Tang, Guo-Liang Tian, 2019, Comput. Stat..

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

Chunling Liu, Man-Lai Tang, Guo-Liang Tian, 2012, Comput. Stat. Data Anal..

Generalized endpoint-inflated binomial model

Guo-Liang Tian, Yong Zhou, Dianliang Deng, 2015, Comput. Stat. Data Anal..

Hierarchical models for repeated binary data using the IBF sampler

Ming Tan, Guo-Liang Tian, Kai Wang Ng, 2006, Comput. Stat. Data Anal..

New expectation–maximization-type algorithms via stochastic representation for the analysis of truncated normal data with applications in biomedicine

Chi Zhang, Guo-Liang Tian, Da Ju, 2018, Statistical methods in medical research.

A note on the binomial model with simplex constraints

Guo-Liang Tian, Philip L. H. Yu, Kai Wang Ng, 2011, Comput. Stat. Data Anal..

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

Guo-Liang Tian, Hongyuan Cao, Hui-Qiong Li, 2018, Comput. Stat. Data Anal..

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

Jiajuan Liang, Guo-Liang Tian, Kai Wang Ng, 2017, Commun. Stat. Simul. Comput..

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

Ming Tan, Guo-Liang Tian, Kai Wang Ng, 2008, Comput. Stat. Data Anal..

Unified generalized iterative scaling and its applications

Ning-Zhong Shi, Man-Lai Tang, Guo-Liang Tian, 2010, Comput. Stat. Data Anal..

Sample Surveys With Sensitive Questions: A Nonrandomized Response Approach

Ming Tan, Man-Lai Tang, Guo-Liang Tian, 2009 .

Multivariate zero-and-one inflated Poisson model with applications

Tao Li, Chi Zhang, Guo-Liang Tian, 2020, J. Comput. Appl. Math..

Poisson–Poisson item count techniques for surveys with sensitive discrete quantitative data

Man-Lai Tang, Guo-Liang Tian, Qin Wu, 2019 .

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

Ruru Deng, Qiang Liu, Qinhuo Liu, 2002, IEEE International Geoscience and Remote Sensing Symposium.

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

Ming Tan, Hong-Bin Fang, Man-Lai Tang, 2008, Comput. Stat. Data Anal..

Experimental design and sample size determination for testing synergism in drug combination studies based on uniform measures

Hong-Bin Fang, Guo-Liang Tian, Ming Tan, 2003, Statistics in medicine.

Statistical inference and prediction for the Weibull process with incomplete observations

Man-Lai Tang, Guo-Liang Tian, Jun-Wu Yu, 2008, Comput. Stat. Data Anal..

Poisson item count techniques with noncompliance

Guo-Liang Tian, Qin Wu, Man-Lai Tang, 2020, Statistics in medicine.

Folded normal regression models with applications in biomedicine

Yu Fei, Xuanyu Liu, Lianjie Shu, 2020, J. Comput. Appl. Math..

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

Hong Qin, Ming Tan, Hong-Bin Fang, 2009, J. Multivar. Anal..

Type I multivariate zero-inflated Poisson distribution with applications

Yin Liu, Guo-Liang Tian, 2015, Comput. Stat. Data Anal..

Latent variable selection in structural equation models

Yanqing Zhang, Nian-Sheng Tang, Guo-Liang Tian, 2016, J. Multivar. Anal..

Hierarchical Models for Tumor Xenograft Experiments in Drug Development

Hong-Bin Fang, Guo-Liang Tian, Ming Tan, 2004, Journal of biopharmaceutical statistics.

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

Tao Li, Yin Liu, Man-Lai Tang, 2019, Comput. Stat. Data Anal..

A Robust Variable Selection to t-type Joint Generalized Linear Models via Penalized t-type Pseudo-likelihood

Guo-Liang Tian, Zhongzhan Zhang, Liu-Cang Wu, 2016, Commun. Stat. Simul. Comput..

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

Yin Liu, Man-Lai Tang, Guo-Liang Tian, 2018, J. Comput. Appl. Math..

A new multivariate t distribution with variant tail weights and its application in robust regression analysis

Man-Lai Tang, Guo-Liang Tian, Kam Chuen Yuen, 2021 .

Two-sample tests for high-dimensional covariance matrices using both difference and ratio

Tingting Zou, Shurong Zheng, Guo-Liang Tian, 2021 .

Global one-sample tests for high-dimensional covariance matrices

Baisen Liu, Ning-Zhong Shi, Shurong Zheng, 2021, Journal of Statistical Computation and Simulation.

A new variant of the parallel regression model with variable selection in surveys with sensitive attribute

Guo-Liang Tian, Mingqiu Wang, Yin Liu, 2021 .

A multivariate zero-inflated binomial model for the analysis of correlated proportional data

Guo-Liang Tian, Dianliang Deng, Yiguang Sun, 2021 .

Bayesian computation for contingency tables with incomplete cell-counts

Guo-Liang Tian, Z. Geng, G. Tian, 2003 .

Small‐Sample Inference for Incomplete Longitudinal Data with Truncation and Censoring in Tumor Xenograft Models

Hong-Bin Fang, Guo-Liang Tian, Peter J Houghton, 2002, Biometrics.

Efficient algorithms for generating truncated multivariate normal distributions

Guo-Liang Tian, Jun-Wu Yu, G. Tian, 2011 .

Bayesian non-randomized response models for surveys with sensitive questions

Man-Lai Tang, Guo-Liang Tian, Kam Chuen Yuen, 2009 .

Exact statistical solutions using the inverse Bayes formulae

Guo-Liang Tian, M. Tan, G. Tian, 2003 .

Exact and approximate unconditional confidence intervals for proportion difference in the presence of incomplete data

Man-Lai Tang, Guo-Liang Tian, G. Tian, 2009, Statistics in medicine.

Robust group non-convex estimations for high-dimensional partially linear models

Guo-Liang Tian, Mingqiu Wang, G. Tian, 2016 .

An exact non‐iterative sampling procedure for discrete missing data problems

Guo-Liang Tian, Kai Wang Ng, M. Tan, 2007 .

Likelihood-based approaches for multivariate linear models under inequality constraints for incomplete data

Ning-Zhong Shi, Shurong Zheng, Guo-Liang Tian, 2012 .

Variable selection in the high-dimensional continuous generalized linear model with current status data

Guo-Liang Tian, Lixin Song, Mingqiu Wang, 2014 .

A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis

Man-Lai Tang, Guo-Liang Tian, Nian-Sheng Tang, 2009 .

Sample size determination for the non-randomised triangular model for sensitive questions in a survey

Man-Lai Tang, Guo-Liang Tian, Nian-Sheng Tang, 2011, Statistical methods in medical research.

Properties of the zero-and-one inflated Poisson distribution and likelihood-based inference methods

Guo-Liang Tian, Chi Zhang, G. Tian, 2016 .

Poisson and negative binomial item count techniques for surveys with sensitive question

Man-Lai Tang, Guo-Liang Tian, Qin Wu, 2017, Statistical methods in medical research.

A new multivariate zero‐adjusted Poisson model with applications to biomedicine

Man-Lai Tang, Guo-Liang Tian, Kam Chuen Yuen, 2019, Biometrical journal. Biometrische Zeitschrift.

Grouped Dirichlet distribution: A new tool for incomplete categorical data analysis

Man-Lai Tang, Guo-Liang Tian, Kai Wang Ng, 2008 .

Other Related Distributions

Man-Lai Tang, Guo-Liang Tian, Kai Wang Ng, 2011 .

Dose and Sample Size Determination for Multi-Drug Combination Studies

Hong-Bin Fang, Guo-Liang Tian, Ming Tan, 2009 .

SCAD-Penalized Least Absolute Deviation Regression in High-Dimensional Models

Guo-Liang Tian, Lixin Song, Mingqiu Wang, 2015 .