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...

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Bibliographic Details
Main Authors: Yiping Dou, Nhu D. Le, James V. Zidek
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2012/191575