A hierarchical Bayesian approach to the spatio-temporal modeling of air quality data

Atmospheric Environment

Volumn 40, Issue 3, 2006, Pages 554-566

  Riccio, A ^a   Barone, G ^b   Chianese, E ^b   Giunta, G ^a  

^a UNIVERSITY OF NAPLES PARTHENOPE   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Bayesian space time interpolation; CAMx model; Model evaluation; Sub grid variability

Indexed keywords

ERROR ANALYSIS; HIERARCHICAL SYSTEMS; INTERPOLATION;

BAYESIAN SPACE-TIME INTERPOLATION; CAMX MODEL; MODEL EVALUATION; SUB-GRID VARIABILITY;

AIR QUALITY;

AIR QUALITY; ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; SPATIOTEMPORAL ANALYSIS;

AIR QUALITY; ARTICLE; BAYES THEOREM; CLUSTER ANALYSIS; ENVIRONMENTAL PARAMETERS; PRIORITY JOURNAL; SPACE; SPATIAL SOIL VARIABILITY; TIME;

EID: 29144462752     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2005.09.070     Document Type: Article

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