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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, 2018,Volume: 32,Issue: 5,Page: 1283-1297
Authors:  Mok, K. M.;  Yuen, K. V.;  Hoi, K. I.;  Chao, K. M.;  Lopes, D.
Favorite  |  View/Download:22/0  |  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  |  View/Download:4/0  |  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, 10-13 Dec. 2012
Authors:  Simon Fong;  Zhou Nannan;  Raymond K. Wong;  Xin-She Yang
Favorite  |  View/Download:8/0  |  Submit date:2019/02/13
Data Pre-processing  Earthquake Prediction  Gmdh  Ground Ozone  Neural Network  Time Series Forecasting