| Status | 已發表Published |
| Selection of the daily PM10 forecasting model for an urban area in the northern region of Portugal with the Bayesian approach | |
Hoi, K. I. ; Yuen, K. V. ; Mok, K. M. ; Miranda, A. I.; Lai, K. U.
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| 2014-09-01 | |
| Source Publication | Proceedings of the 2014 International Aerosol Conference
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| Abstract | Daily forecast of PM10 is a priority in Portugal. Two forecasting approaches, deterministic and statistical, are commonly used. While deterministic model can provide forecasts for the entire country, the statistical one can provide point forecasts for any monitored area with less modeling requirements. A statistical model is regression of some specified input variables. However, the selection of these input variables is difficult for addressing issues of accuracy and over-fitting. This difficulty can be handled by applying the Bayesian approach to select the most suitable model from a pool of candidates. |
| Keyword | Bayesian Forecast PM10 Portugal |
| Language | 英語English |
| The Source to Article | PB_Publication |
| PUB ID | 15572 |
| Document Type | Conference paper |
| Collection | HENRY FOK PEARL JUBILEE COLLEGE |
| Corresponding Author | Mok, K. M. |
| Recommended Citation GB/T 7714 | Hoi, K. I.,Yuen, K. V.,Mok, K. M.,et al. Selection of the daily PM10 forecasting model for an urban area in the northern region of Portugal with the Bayesian approach[C], 2014. |
| APA | Hoi, K. I.., Yuen, K. V.., Mok, K. M.., Miranda, A. I.., & Lai, K. U. (2014). Selection of the daily PM10 forecasting model for an urban area in the northern region of Portugal with the Bayesian approach. Proceedings of the 2014 International Aerosol Conference. |
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