User: Guest  Login
Document type:
Zeitschriftenaufsatz 
Author(s):
Kreuzer, Alexander; Dalla Valle, Luciana; Czado, Claudia 
Title:
A Bayesian non‐linear state space copula model for air pollution in Beijing 
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:
WWW:
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