Guoqi Q. Qian

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 11

Top Topics

Regression Model

Maximum Likelihood Estimator

Top Venues

J. Comput. Appl. Math.

Comput. Intell. Neurosci.

Publications

Guangbao Guo, Ruiling Niu, Guoqi Q. Qian, Haoyue Song, Tao Lu
-means clustering data with high-missing ratio. Commun. Stat. Simul. Comput. 53 (6) (2024)
Antoinette Tordesillas, Hangfei Zheng, Guoqi Q. Qian, Patrick Bellett, Peter Saunders
Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yu Fei, Rongli Li, Zhouhong Li, Guoqi Q. Qian
Clustering Longitudinal Data for Growth Curve Modelling by Gibbs Sampler and Information Criterion. J. Classif. 41 (2) (2024)
Guangbao Guo, Miao Yu, Guoqi Q. Qian
ORKM: Online regularized K-means clustering for online multi-view data. Inf. Sci. 680 (2024)
Guangbao Guo, Chunjie Wei, Guoqi Q. Qian
Sparse online principal component analysis for parameter estimation in factor model. Comput. Stat. 38 (2) (2023)
Guoqi Q. Qian, Lizhong Chen, Yuriy Kuleshov
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. Remote. Sens. 14 (22) (2022)
Zhendong Huang, Davide Ferrari, Guoqi Q. Qian
Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association. Comput. Stat. Data Anal. 110 (2017)
Guoqi Q. Qian, Yuehua Wu, Davide Ferrari, Puxue Qiao, Frédéric Hollande
Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications. Comput. Intell. Neurosci. 2016 (2016)
Zemei Xu, Daniel F. Schmidt, Enes Makalic, Guoqi Q. Qian, John L. Hopper
Bayesian Grouped Horseshoe Regression with Application to Additive Models. Australasian Conference on Artificial Intelligence (2016)
Guangbao Guo, Wenjie You, Lu Lin, Guoqi Q. Qian
Covariance matrix and transfer function of dynamic generalized linear models. J. Comput. Appl. Math. 296 (2016)
Guangbao Guo, Wenjie You, Guoqi Q. Qian, Wei Shao
Parallel maximum likelihood estimator for multiple linear regression models. J. Comput. Appl. Math. 273 (2015)
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, John Wagner, John L. Hopper
Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results. EMBC (2012)
Guoqi Q. Qian, Ning Li, Richard M. Huggins
Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe. Comput. Stat. Data Anal. 55 (1) (2011)
Lachlan L. H. Andrew, Guoqi Q. Qian, Felisa J. Vázquez-Abad
Setwise and filtered gibbs samplers for teletraffic analysis. ACM Trans. Model. Comput. Simul. 20 (2) (2010)
Guoqi Q. Qian, Yuehua Wu, Qing Shao
A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering. J. Classif. 26 (2) (2009)
Jeong-Soo Park, Guoqi Q. Qian, Yuna Jun
Monte Carlo EM algorithm in logistic linear models involving non-ignorable missing data. Appl. Math. Comput. 197 (1) (2008)
Guoqi Q. Qian, Xindong Zhao
On time series model selection involving many candidate ARMA models. Comput. Stat. Data Anal. 51 (12) (2007)
James Cui, Guoqi Q. Qian
Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data. Commun. Stat. Simul. Comput. 36 (5) (2007)
Ning Li, Guoqi Q. Qian, Richard M. Huggins
A latent variable model for estimating disease transmission rate from data on household outbreaks. Comput. Stat. Data Anal. 50 (11) (2006)
Guoqi Q. Qian
Computing Minimum Description Length for Robust Linear Regression Model Selection. Pacific Symposium on Biocomputing (1999)
Guoqi Q. Qian, Hans R. Künsch
Some Notes on Rissanen's Stochastic Complexity. IEEE Trans. Inf. Theory 44 (2) (1998)
Guoqi Q. Qian, George Gabor, R. P. Gupta
On stochastic complexity estimation: a decision-theoretic approach. IEEE Trans. Inf. Theory 40 (4) (1994)