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Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models Journal article
Stochastic Environmental Research and Risk Assessment, 2017,Volume: 32,Issue: 5,Page: 1283-1297
Authors:  K. M. Mok;  K. V. Yuen;  K. I. Hoi;  K. M. Chao;  D. Lopes
Favorite |  | TC[WOS]:6 TC[Scopus]:7 | Submit date:2018/10/30
Adaptive Bayesian Model Averaging  Kalman Filter  Model Switching  Ozone Prediction  Statistical Model  
Bayesian model class selection of daily ground-level ozone prediction model Conference paper
Proceedings of the 4th International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE) and SECOTOX Conference, Mykonos island, Greece, June 24-28, 2013
Authors:  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/05/28
Air Quality Forecasting, Bayesian Model Class Selection  Ground-level Ozone  Macau  
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network Conference paper
Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, Brussels, Belgium, 10-10 Dec. 2012
Authors:  Simon Fong;  Zhou Nannan;  Raymond K. Wong;  Xin-She Yang
Favorite |  | TC[WOS]:8 TC[Scopus]:8 | Submit date:2019/02/13
Time Series Forecasting  Gmdh  Earthquake Prediction  Ground Ozone  Neural Network  Data Pre-processing