A Bayesian Non-linear State Space Copula Model to Predict Air Pollution in Beijing
Alexander Kreuzer,
Luciana Dalla Valle,
Claudia Czado
Abstract:Air pollution is a serious issue that currently affects many industrial cities in the world and can cause severe illness to the population. In particular, it has been proven that extreme high levels of airborne contaminants have dangerous short-term effects on human health, in terms of increased hospital admissions for cardiovascular and respiratory diseases and increased mortality risk. For these reasons, accurate estimation and prediction of airborne pollutant concentration is crucial. In this paper, we prop… Show more
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