Temporal Forecasting with a Bayesian Spatial Predictor: Application to Ozone
This paper develops and empirically compares two Bayesian and empirical Bayes space-time approaches for forecasting next-day hourly ground-level ozone concentrations. The comparison involves the Chicago area in the summer of 2000 and measurements from fourteen monitors as reported in the EPA's...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2012/191575 |