On stochastic complexity estimation: a decision-theoretic approach. - Guoqi Q. Qian; George Gabor; Rajendra P. Gupta (IEEE Trans. Inf. Theory, 1994)

Some Notes on Rissanen's Stochastic Complexity. - Guoqi Q. Qian; Hans R. Künsch (IEEE Trans. Inf. Theory, 1998)

Computing Minimum Description Length for Robust Linear Regression Model Selection. - Guoqi Q. Qian (Pacific Symposium on Biocomputing, 1999)

A latent variable model for estimating disease transmission rate from data on household outbreaks. - Ning Li; Guoqi Q. Qian; Richard M. Huggins (Comput. Stat. Data Anal., 2006)

On time series model selection involving many candidate ARMA models. - Guoqi Q. Qian; Xindong Zhao (Comput. Stat. Data Anal., 2007)

Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data. - James Cui; Guoqi Q. Qian (Commun. Stat. Simul. Comput., 2007)

Monte Carlo EM algorithm in logistic linear models involving non-ignorable missing data. - Jeong-Soo Park 003; Guoqi Q. Qian; Yuna Jun (Appl. Math. Comput., 2008)

A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering. - Guoqi Q. Qian; Yuehua Wu; Qing Shao (J. Classif., 2009)

Setwise and filtered gibbs samplers for teletraffic analysis. - Lachlan L. H. Andrew; Guoqi Q. Qian; Felisa J. Vázquez-Abad (ACM Trans. Model. Comput. Simul., 2010)

Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe. - Guoqi Q. Qian; Ning Li; Richard M. Huggins (Comput. Stat. Data Anal., 2011)

Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results. - Matthias Reumann; Enes Makalic; Benjamin W. Goudey; Michael Inouye; Adrian Bickerstaffe; Minh Bui; Daniel J. Park; Miroslaw K. Kapuscinski; Daniel F. Schmidt; Zeyu Zhou; Guoqi Q. Qian; Justin Zobel; et al. (EMBC, 2012)

Parallel maximum likelihood estimator for multiple linear regression models. - Guangbao Guo; Wenjie You; Guoqi Q. Qian; Wei Shao (J. Comput. Appl. Math., 2015)

Bayesian Grouped Horseshoe Regression with Application to Additive Models. - Zemei Xu; Daniel F. Schmidt; Enes Makalic; Guoqi Q. Qian; John L. Hopper (Australasian Conference on Artificial Intelligence, 2016)

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications. - Guoqi Q. Qian; Yuehua Wu; Davide Ferrari; Puxue Qiao; Frédéric Hollande (Comput. Intell. Neurosci., 2016)

Covariance matrix and transfer function of dynamic generalized linear models. - Guangbao Guo; Wenjie You; Lu Lin; Guoqi Q. Qian (J. Comput. Appl. Math., 2016)

Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association. - Zhendong Huang; Davide Ferrari; Guoqi Q. Qian (Comput. Stat. Data Anal., 2017)

Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis-Gibbs Sampling. - Guoqi Q. Qian; Lizhong Chen; Yuriy Kuleshov (Remote. Sens., 2022)

Sparse online principal component analysis for parameter estimation in factor model. - Guangbao Guo; Chunjie Wei; Guoqi Q. Qian (Comput. Stat., 2023)

ORKM: Online regularized K-means clustering for online multi-view data. - Guangbao Guo; Miao Yu; Guoqi Q. Qian (Inf. Sci., 2024)

Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data. - Antoinette Tordesillas; Hangfei Zheng; Guoqi Q. Qian; Patrick Bellett; Peter Saunders (IEEE Trans. Geosci. Remote. Sens., 2024)

Trimmed scores regression for k -means clustering data with high-missing ratio. - Guangbao Guo; Ruiling Niu; Guoqi Q. Qian; Haoyue Song; Tao Lu (Commun. Stat. Simul. Comput., 2024)

Clustering Longitudinal Data for Growth Curve Modelling by Gibbs Sampler and Information Criterion. - Yu Fei; Rongli Li; Zhouhong Li; Guoqi Q. Qian (J. Classif., 2024)