Guoqi Q. Qian

Orcid: 0000-0003-3818-0564

According to our database1, Guoqi Q. Qian authored at least 19 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Sparse online principal component analysis for parameter estimation in factor model.
Comput. Stat., June, 2023

2022
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., 2022

2017
Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association.
Comput. Stat. Data Anal., 2017

2016
Covariance matrix and transfer function of dynamic generalized linear models.
J. Comput. Appl. Math., 2016

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications.
Comput. Intell. Neurosci., 2016

Bayesian Grouped Horseshoe Regression with Application to Additive Models.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Parallel maximum likelihood estimator for multiple linear regression models.
J. Comput. Appl. Math., 2015

2012
Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe.
Comput. Stat. Data Anal., 2011

2010
Setwise and filtered gibbs samplers for teletraffic analysis.
ACM Trans. Model. Comput. Simul., 2010

2009
A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering.
J. Classif., 2009

2008
Monte Carlo EM algorithm in logistic linear models involving non-ignorable missing data.
Appl. Math. Comput., 2008

2007
Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data.
Commun. Stat. Simul. Comput., 2007

On time series model selection involving many candidate ARMA models.
Comput. Stat. Data Anal., 2007

2006
A latent variable model for estimating disease transmission rate from data on household outbreaks.
Comput. Stat. Data Anal., 2006

1999
Computing Minimum Description Length for Robust Linear Regression Model Selection.
Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

1998
Some Notes on Rissanen's Stochastic Complexity.
IEEE Trans. Inf. Theory, 1998

1994
On stochastic complexity estimation: a decision-theoretic approach.
IEEE Trans. Inf. Theory, 1994


  Loading...