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Guoqi Q. Qian
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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)
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last updated on 2024-08-03 20:10 CEST by the dblp team
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