G. Tian

发表

Hierarchical models for repeated binary data using the IBF sampler

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

Statistical Applications in Genetics and Molecular Biology Sparse Logistic Regression with Lp Penalty for Biomarker Identification

G. Tian, Zhenqiu Liu, Feng Jiang, 2011 .

Testing multivariate normality in incomplete data of small sample size

M. Tan, G. Tian, Hong-Bin Fang, 2005 .

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.

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

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

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

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

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation

G. Tian, K. Ng, Ming Tan, 2009 .

Fast QLB algorithm and hypothesis tests in logistic model for ophthalmologic bilateral correlated data

G. Tian, Yi-Qi Lin, Yu-Shun Zhang, 2020, Journal of biopharmaceutical statistics.

ON PROFILE MM ALGORITHMS FOR GAMMA FRAILTY SURVIVAL MODELS

G. Tian, Jinfeng Xu, Xifen Huang, 2019, Statistica Sinica.

Logistic regression analysis of non‐randomized response data collected by the parallel model in sensitive surveys

G. Tian, Yin Liu, M. Tang, 2019, Australian & New Zealand Journal of Statistics.

AN ASSEMBLY AND DECOMPOSITION APPROACH FOR CONSTRUCTING SEPARABLE MINORIZING FUNCTIONS IN A CLASS OF MM ALGORITHMS

G. Tian, Jinfeng Xu, Xifen Huang, 2019, Statistica Sinica.

A Unified Method for Checking Compatibility and Uniqueness for Finite Discrete Conditional Distributions

M. Tan, G. Tian, K. Ng, 2008 .

Dirichlet and Related Distributions: Theory, Methods and Applications

G. Tian, K. Ng, M. Tang, 2011 .

Two new models for survey sampling with sensitive characteristic: design and analysis

G. Tian, M. Tang, Jun-Wu Yu, 2008 .

Walking on the Road to the Statistical Pyramid

G. Tian, Jianxin Pan, Jiajuan Liang, 2020 .

A class of uniform tests for goodness-of-fit of the multivariate $$L_p$$Lp-norm spherical distributions and the $$l_p$$lp-norm symmetric distributions

G. Tian, K. Ng, Jiajuan Liang, 2019 .

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

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

Testing the equality of risk difference among multiple incomplete two-way contingency tables

G. Tian, Niansheng Tang, H. Cao, 2018 .

Two new bivariate zero-inflated generalized Poisson distributions with a flexible correlation structure

G. Tian, Chi Zhang, Xifen Huang, 2015 .

Title Further properties and new applications of the nested Dirichletdistribution

G. Tian, K. Ng, K. Yuen, 2009 .

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

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

Statistical Inference for Truncated Dirichlet Distribution and Its Application in Misclassification

Z. Geng, G. Tian, K. Fang, 2000 .

Type II combination questionnaire model: A new survey design for a totally sensitive binary variable correlated with another nonsensitive binary variable

G. Tian, Yin Liu, Xifen Huang, 2015 .

A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable

G. Tian, Yang Lu, Jun-Wu Yu, 2013 .

Modified adaptive group lasso for high-dimensional varying coefficient models

G. Tian, Mingqiu Wang, Xiaoning Kang, 2020, Commun. Stat. Simul. Comput..

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

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

Valid statistical inference methods for a case–control study with missing data

G. Tian, Chi Zhang, Xuejun Jiang, 2018, Statistical methods in medical research.

A new framework of statistical inferences based on the valid joint sampling distribution of the observed counts in an incomplete contingency table

G. Tian, Huiqiong Li, 2017, Statistical methods in medical research.

Type I multivariate zero-inflated generalized Poisson distribution with applications

G. Tian, Chi Zhang, Xuejun Jiang, 2017 .

Regularized (bridge) logistic regression for variable selection based on ROC criterion

M. Tan, G. Tian, Zhenqiu Liu, 2009 .

Design and Sample Size for Evaluating Combinations of Drugs of Linear and Loglinear Dose-Response Curves

M. Tan, G. Tian, Wei Li, 2009, Journal of biopharmaceutical statistics.

Dose and Sample Size Determination for Multi-Drug Combination Studies

G. Tian, M. Tan, Hong-Bin Fang, 2009 .

Characteristic Functions of L1-Spherical and L1-Norm Symmetric Distributions and Their Applications

G. Tian, K. Ng, 2001 .

Variable selection in joint location, scale and skewness models with a skew-t-normal distribution

G. Tian, Liu-Cang Wu, Yanqing Zhang, 2017 .

A robust and efficient estimation method for partially nonlinear models via a new MM algorithm

G. Tian, Y. Fei, Yunlu Jiang, 2019 .

Statistical inference for semiparametric varying-coefficient partially linear models with a diverging number of components

G. Tian, Yin Liu, Mingqiu Wang, 2020 .

Adaptive group Lasso for high-dimensional generalized linear models

G. Tian, Mingqiu Wang, 2019 .

G. Tian, K. Ng, Chi Zhang, 2016 .

Simultaneous confidence interval construction for many-to-one comparisons of proportion differences based on correlated paired data

G. Tian, Chang-Xing Ma, Zhengyu Yang, 2020 .

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

M. Tan, G. Tian, Hong-Bin Fang, 2008, Computational statistics & data analysis.

Analysis for temporal gene expressions under multiple biological conditions

G. Tian, Hong-Bin Fang, K. Duan, 2012 .

Robust variable selection of varying coefficient partially nonlinear model based on quantile regression

G. Tian, Hu Yang, Jing Yang, 2019, Statistics and Its Interface.

Title Sample size determination for the parallel model in a survey withsensitive questions

G. Tian, Yin Liu, 2015 .

Common risk difference test and interval estimation of risk difference for stratified bilateral correlated data

G. Tian, K. Yuen, Chang-Xing Ma, 2018, Statistical methods in medical research.

Dirichlet–Multinomial Distribution

G. Tian, K. Ng, M. Tang, 2011 .

Confidence intervals for proportion ratios of stratified correlated bilateral data

G. Tian, Chang-Xing Ma, Tingting Zhuang, 2018, Journal of biopharmaceutical statistics.

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

G. Tian, LI Xunjian, 2022, 2212.00797.

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

G. Tian, Yin Liu, M. Tang, 2019, Computational Statistics.

A robust and efficient estimation method for partially nonlinear models via a new MM algorithm

G. Tian, Y. Fei, Yunlu Jiang, 2017, Statistical Papers.

Adaptive group Lasso for high-dimensional generalized linear models

G. Tian, Mingqiu Wang, 2017, Statistical Papers.

Computing Posteriors in the EM-Type Structures

Ming Tan, Kai Wang Ng, Guo-Liang Tian, 2009 .

EXPLICIT BAYESIAN SOLUTION FOR INCOMPLETE PRE-POST TEST PROBLEMS USING INVERSE BAYES FORMULAE

G. Tian, X. Xiong, M. Tan, 2001 .

Efficient algorithms for generating truncated multivariate normal distributions

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

An efficient MCEM algorithm for fitting generalized linear mixed models for correlated binary data

M. Tan, G. Tian, Hong-Bin Fang, 2007 .

Statistical Analysis for Tumor Xenograft Experiments in Drug Development

G. Tian, M. Tan, Hong-Bin Fang, 2005 .

Hierarchical Models for Tumor Xenograft Experiments in Drug Development

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

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.

Analysis for temporal gene expressions under multiple biological conditions

G. Tian, Hong-Bin Fang, D. Deng, 2012, Statistics in Biosciences.

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.

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

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

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..

Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys

G. Tian, M. Tang, 2013 .

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

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

Estimation of nonparametric regression models with a mixture of Berkson and classical errors

G. Tian, M. Tang, Wei Gao, 2013 .

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

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

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 .

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..

Sample Surveys With Sensitive Questions: A Nonrandomized Response Approach

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

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..

Transformed linear quantile regression with censored survival data

G. Tian, Liuquan Sun, Rui Miao, 2016 .

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..

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.

Generalized endpoint-inflated binomial model

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

A generalized EMS algorithm for model selection with incomplete data

Man-Lai Tang, Ping-Feng Xu, Lai-Xu Shang, 2021, 2106.10983.

Likelihood-based methods for the zero-one-two inflated Poisson model with applications to biomedicine

G. Tian, M. Tang, Shishun Zhao, 2021, Journal of Statistical Computation and Simulation.

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..

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..

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.

Exact statistical solutions using the inverse Bayes formulae

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

A NONITERATIVE SAMPLING METHOD FOR COMPUTING POSTERIORS IN THE STRUCTURE OF EM-TYPE ALGORITHMS

G. Tian, K. Ng, Ming Tan, 2003 .

Dose and Sample Size Determination for Multi-Drug Combination Studies

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

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.

Multivariate zero-and-one inflated Poisson model with applications

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

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 new non‐randomized response model: The parallel model

Guo-Liang Tian, G. Tian, 2014 .

Sample size determination for the parallel model in a survey with sensitive questions

Yin Liu, Guo-Liang Tian, G. Tian, 2014 .

Two-sample Non Randomized Response Techniques for Sensitive Questions

G. Tian, Jianhua Guo, M. Tang, 2014 .

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

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

Multi-category parallel models in the design of surveys with sensitive questions

Yin Liu, Guo-Liang Tian, G. Tian, 2013 .

A new non‐randomized model for analysing sensitive questions with binary outcomes

Zhi Geng, Man-Lai Tang, Jun-Wu Yu, 2007, Statistics in medicine.

The comparison between polynomial regression and orthogonal polynomial regression

G. Tian, 1998 .

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

G. Tian, Mingqiu Wang, Tao Li, 2023, Journal of Systems Science and Complexity.

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

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

Testing proportionality of two high-dimensional covariance matrices

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

Constrained Parameter Problems

Ming Tan, Kai Wang Ng, Guo-Liang Tian, 2009 .

High-dimensional index tracking based on the adaptive elastic net

Lianjie Shu, Guoliang Tian, Fangquan Shi, 2020 .

A FAST EM ALGORITHM FOR QUADRATIC OPTIMIZATION SUBJECT TO CONVEX CONSTRAINTS

M. Tan, G. Tian, K. Ng, 2007 .

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..

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.

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..

Bayesian computation for contingency tables with incomplete cell-counts

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

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

G. Tian, Jiajuan Liang, Xifen Huang, 2021, Commun. Stat. Simul. Comput..

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..

Testing homogeneity of proportion ratios for stratified correlated bilateral data in two‐arm randomized clinical trials

G. Tian, M. Tang, Yanbo Pei, 2014, Statistics in medicine.

Confidence intervals for a difference between proportions based on paired data

Leevan Ling, Man-Lai Tang, Guoliang Tian, 2010, Statistics in medicine.

Global one-sample tests for high-dimensional covariance matrices

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

Confidence-Interval Construction for Rate Ratio in Matched-Pair Studies with Incomplete Data

G. Tian, Niansheng Tang, M. Tang, 2014, Journal of biopharmaceutical statistics.

On Confidence Interval Construction for Establishing Equivalence of Two Binary-Outcome Treatments in Matched-Pair Studies in the Presence of Incomplete Data

G. Tian, M. Tang, I. Chan, 2011 .

Zero-one-inflated simplex regression models for the analysis of continuous proportion data

G. Tian, K. Yuen, P. Liu, 2020 .

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

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

Testing hypothesis for a simple ordering in incomplete contingency tables

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

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

Chunling Liu, Man-Lai Tang, Guo-Liang Tian, 2012, 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 stochastic representation for the lp-norm symmetric distribution and its applications

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

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

G. Tian, Jiajuan Liang, Jianhuai Shi, 2023, Comput. Stat. Data Anal..

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

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

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

G. Tian, Yin Liu, M. Tang, 2017, Statistical Papers.

Homogeneity Test of Ratio of Two Proportions in Stratified Bilateral Data

G. Tian, Changxing Ma, Tingting Zhuang, 2018, Statistics in Biopharmaceutical Research.

Poisson item count techniques with noncompliance

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

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..