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Guoqi Qian
Guoqi Qian
Verified email at ms.unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
Selection of working correlation structure and best model in GEE analyses of longitudinal data
J Cui, G Qian
Communications in statistics—Simulation and computation® 36 (5), 987-996, 2007
1732007
Principal components selection by the criterion of the minimum mean difference of complexity
GQ Qian, G Gabor, RP Gupta
Journal of multivariate analysis 49 (1), 55-75, 1994
491994
Some notes on Rissanen's stochastic complexity
G Qian, HR Kunsch
IEEE Transactions on Information Theory 44 (2), 782-786, 1998
361998
On model selection via stochastic complexity in robust linear regression
G Qian, HR Künsch
Journal of Statistical Planning and Inference 75 (1), 91-116, 1998
301998
Using MCMC for logistic regression model selection involving large number of candidate models
G Qian, C Field
Monte Carlo and Quasi-Monte Carlo Methods 2000: Proceedings of a Conference …, 2002
282002
Law of iterated logarithm and consistent model selection criterion in logistic regression
G Qian, C Field
Statistics & probability letters 56 (1), 101-112, 2002
272002
Stock Price Prediction Using a Frequency Decomposition Based GRU Transformer Neural Network
C Li, G Qian
Applied Sciences 13 (1), 222, 2022
262022
Generalised linear model selection by the predictive least quasi-deviance criterion
G Qian, G Gabor, RP Gupta
Biometrika 83 (1), 41-54, 1996
251996
Spline-based modelling of near-surface wind speeds in tropical cyclones
JS Wijnands, G Qian, Y Kuleshov
Applied Mathematical Modelling 40 (19-20), 8685-8707, 2016
242016
Spatial sampling design based on stochastic complexity
MC Bueso, JM Angulo, G Qian, FJ Alonso
Journal of multivariate analysis 71 (1), 94-110, 1999
241999
Seasonal forecasting of tropical cyclone activity in the Australian and the South Paci c Ocean regions
J Wijnands, G Qian, KL Shelton, RJB Fawcett, JCL Chan, Y Kuleshov
Mathematics of Climate and Weather Forecasting 1, 21-42, 2015
222015
On time series model selection involving many candidate ARMA models
G Qian, X Zhao
Computational Statistics & Data Analysis 51 (12), 6180-6196, 2007
212007
On model selection in robust linear regression
G Qian, H Künsch
Research report/Seminar für Statistik, Eidgenössische Technische Hochschule …, 1996
211996
Variable selection for tropical cyclogenesis predictive modeling
JS Wijnands, G Qian, Y Kuleshov
Monthly Weather Review 144 (12), 4605-4619, 2016
202016
Boosting association rule mining in large datasets via Gibbs sampling
G Qian, CR Rao, X Sun, Y Wu
Proceedings of the National Academy of Sciences 113 (18), 4958-4963, 2016
182016
A procedure for estimating the number of clusters in logistic regression clustering
G Qian, Y Wu, Q Shao
Journal of classification 26, 183-199, 2009
172009
Bayesian grouped horseshoe regression with application to additive models
Z Xu, DF Schmidt, E Makalic, G Qian, JL Hopper
AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016
162016
Estimation and selection in regression clustering
G Qian, Y Wu
European Journal of Pure and Applied Mathematics 4 (4), 455-466, 2011
142011
Modeling big spatio-temporal geo-hazards data for forecasting by error-correction cointegration and dimension-reduction
H Wang, G Qian, A Tordesillas
Spatial Statistics 36, 100432, 2020
132020
Stochastic complexity and model selection from incomplete data
MC Bueso, G Qian, JM Angulo
Journal of statistical planning and inference 76 (1-2), 273-284, 1999
131999
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