Hierarchical space-time modelling of PM10 pollution

Ayers, 1999, TEOM vs. manual gravimetric methods for determination of PM2.5 aerosol mass concentrations, Atmospheric Environment, 33, 3717, 10.1016/S1352-2310(99)00125-9 Banerjee, 2004 Biggeri, A., Bellini, P., Terracini, B. (Eds.), 2004. Metanalisi Italiana degli studi sugli effetti a breve termine dell’inquinamento atmosferico. Epidemiologia e Prevenzione, Special Issue (28). Dockery, 1993, An association between air pollution and mortality in six US cities, New England Journal of Medicine, 24, 1753, 10.1056/NEJM199312093292401 Gelman, 1996, Posterior predictive assessment of model fitness via realized discrepancies, Statistica Sinica, 6, 733 Gelman, 2005, Bayesian measures of explained variance and pooling in multilevel (hierarchical) models, Technometrics, 40, 241, 10.1198/004017005000000517 Huerta, 2004, A spatiotemporal model for Mexico City ozone levels, Applied Statistics, 53, 231 Pope, 1995, Particulate air pollution as a predictor of mortality in a prospective study of US adults, American Journal of Respiratory and Critical Care Medicine, 151, 669, 10.1164/ajrccm/151.3_Pt_1.669 Riccio, 2006, A hierarchical Bayesian approach to the spatio-temporal modeling of air quality data, Atmospheric Environment, 40, 554, 10.1016/j.atmosenv.2005.09.070 Rubin, 1984, Bayesianly justifiable and relevant frequency calculations for the applied statistician, The Annals of Statistics, 4, 1151, 10.1214/aos/1176346785 2000 Shaddick, 2002, Modelling multiple pollutant data at multiple sites, Applied Statistics, 51, 351 Smith, 2003, Spatio-temporal modelling of PM2.5 data with missing values, Journal of Geophysical Research, 108, D24, 10.1029/2002JD002914 Spiegelhalter, 1998 Wikle, 1998, Hierarchical Bayesian space-time models, Environmental and Ecological Statistics, 5, 117, 10.1023/A:1009662704779 West, 1997