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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
air pollution, Bayes, Hamiltonian Monte Carlo, state space models
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Journal of the Royal Statistical Society: Series C (Applied Statistics)
Jahr:
2022
Jahr / Monat:
2022-03
Quartal:
1. Quartal
Monat:
Mar
Sprache:
en
Volltext / DOI:
doi:10.1111/rssc.12548
WWW:
Wiley
Verlag / Institution:
Wiley
E-ISSN:
0035-92541467-9876
Hinweise:
First published: 26 March 2022 (online)
Publikationsdatum:
26.03.2022
Semester:
WS 21-22
TUM Einrichtung:
Professur für Angewandte Mathematische Statistik
Format:
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