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2020 – today
- 2024
[j19]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): 371-401 (2024)- [j18]Guangbao Guo, Ruiling Niu, Guoqi Q. Qian, Haoyue Song, Tao Lu:
Trimmed scores regression for k -means clustering data with high-missing ratio. Commun. Stat. Simul. Comput. 53(6): 2805-2821 (2024) - [j17]Guangbao Guo, Miao Yu, Guoqi Q. Qian:
ORKM: Online regularized K-means clustering for online multi-view data. Inf. Sci. 680: 121133 (2024) - [j16]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: 1-29 (2024) - 2023
- [j15]Guangbao Guo, Chunjie Wei, Guoqi Q. Qian:
Sparse online principal component analysis for parameter estimation in factor model. Comput. Stat. 38(2): 1095-1116 (2023) - 2022
- [j14]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): 5872 (2022)
2010 – 2019
- 2017
- [j13]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: 37-49 (2017) - 2016
- [j12]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: 4037380:1-4037380:13 (2016) - [j11]Guangbao Guo, Wenjie You, Lu Lin, Guoqi Q. Qian:
Covariance matrix and transfer function of dynamic generalized linear models. J. Comput. Appl. Math. 296: 613-624 (2016) - [c3]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: 229-240 - 2015
- [j10]Guangbao Guo, Wenjie You, Guoqi Q. Qian, Wei Shao:
Parallel maximum likelihood estimator for multiple linear regression models. J. Comput. Appl. Math. 273: 251-263 (2015) - 2012
- [c2]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: 1258-1261 - 2011
- [j9]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): 655-666 (2011) - 2010
- [j8]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): 7:1-7:24 (2010)
2000 – 2009
- 2009
- [j7]Guoqi Q. Qian, Yuehua Wu, Qing Shao:
A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering. J. Classif. 26(2): 183-199 (2009) - 2008
- [j6]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): 440-450 (2008) - 2007
- [j5]Guoqi Q. Qian, Xindong Zhao:
On time series model selection involving many candidate ARMA models. Comput. Stat. Data Anal. 51(12): 6180-6196 (2007) - [j4]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): 987-996 (2007) - 2006
- [j3]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): 3354-3368 (2006)
1990 – 1999
- 1999
- [c1]Guoqi Q. Qian:
Computing Minimum Description Length for Robust Linear Regression Model Selection. Pacific Symposium on Biocomputing 1999: 314-325 - 1998
- [j2]Guoqi Q. Qian, Hans R. Künsch:
Some Notes on Rissanen's Stochastic Complexity. IEEE Trans. Inf. Theory 44(2): 782-786 (1998) - 1994
- [j1]Guoqi Q. Qian, George Gabor, Rajendra P. Gupta:
On stochastic complexity estimation: a decision-theoretic approach. IEEE Trans. Inf. Theory 40(4): 1181-1191 (1994)
Coauthor Index
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