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Title:

A Bayesian non‐linear state space copula model for air pollution in Beijing

Document type:
Zeitschriftenaufsatz
Author(s):
Kreuzer, Alexander; Dalla Valle, Luciana; Czado, Claudia
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, an accurate estimation of airborne pollutant concentrations is crucial. In this paper, we...     »
Keywords:
air pollution, Bayes, Hamiltonian Monte Carlo, state space models
Dewey Decimal Classification:
510 Mathematik
Journal title:
Journal of the Royal Statistical Society: Series C (Applied Statistics)
Year:
2022
Year / month:
2022-03
Quarter:
1. Quartal
Month:
Mar
Language:
en
Fulltext / DOI:
doi:10.1111/rssc.12548
WWW:
Wiley
Publisher:
Wiley
E-ISSN:
0035-92541467-9876
Notes:
First published: 26 March 2022 (online)
Date of publication:
26.03.2022
Semester:
WS 21-22
TUM Institution:
Professur für Angewandte Mathematische Statistik
Format:
Text
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