A Bayesian Non-linear State Space Copula Model for Air Pollution in Beijing

Alexander Kreuzer; L Dalla Valle; Claudia Czado

doi:10.1111/rssc.12548

A Bayesian Non-linear State Space Copula Model for Air Pollution in Beijing

Alexander Kreuzer^*
, L Dalla Valle
, Claudia Czado

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Technical University of Munich

Research output: Contribution to journal › Article › peer-review

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Original language	English
Number of pages	0
Journal	Journal of the Royal Statistical Society Series C: Applied Statistics
Volume	0
Issue number	0
Early online date	26 Mar 2022
DOIs	https://doi.org/10.1111/rssc.12548
Publication status	Published - 26 Mar 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

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10.1111/rssc.12548

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Cite this

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title = "A Bayesian Non-linear State Space Copula Model for Air Pollution in Beijing",

author = "Alexander Kreuzer and \{Dalla Valle\}, L and Claudia Czado",

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T1 - A Bayesian Non-linear State Space Copula Model for Air Pollution in Beijing

AU - Kreuzer, Alexander

AU - Dalla Valle, L

AU - Czado, Claudia

PY - 2022/3/26

Y1 - 2022/3/26

UR - https://pearl.plymouth.ac.uk/secam-research/2028/

U2 - 10.1111/rssc.12548

DO - 10.1111/rssc.12548

M3 - Article

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JF - Journal of the Royal Statistical Society Series C: Applied Statistics

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A Bayesian Non-linear State Space Copula Model for Air Pollution in Beijing

UN SDGs

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A Bayesian Non-linear State Space Copula Model to Predict Air Pollution in Beijing

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