Extreme value methods for estimating rare events in Utopia

Authors

Eleanor D’Arcy (ORCID: https://orcid.org/0000-0002-7926-0758)
Matthew Speers (ORCID: https://orcid.org/0009-0009-2052-6337)
Callum John Rowlandson Murphy-Barltrop
Dáire Healy (ORCID: https://orcid.org/0000-0003-1056-3934)
Conor Murphy (ORCID: https://orcid.org/0000-0003-4891-2650)
L. M. André (ORCID: https://orcid.org/0000-0002-0887-0882)
Ryan Campbell (ORCID: https://orcid.org/0000-0002-2867-7764)
Aiden Farrell (ORCID: https://orcid.org/0000-0002-9498-8077)
Lydia Kakampakou (ORCID: https://orcid.org/0009-0006-8731-6869)

Institutions

Ca' Foscari University of Venice (IT)
Environment Agency (GB)
German Research Centre for Artificial Intelligence (DE)
Center for Scalable Data Analytics and Artificial Intelligence (DE)
Lancaster University (GB)
Technische Universität Dresden (DE)

Publication Details

Journal: Extremes
Published: 2024-11-22
DOI: https://doi.org/10.1007/s10687-024-00498-w
Primary Topic: Financial Risk and Volatility Modeling
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Science Foundation Ireland
Engineering and Physical Sciences Research Council

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article

Extreme value methods for estimating rare events in Utopia

Eleanor D’Arcy, Matthew Speers, Callum John Rowlandson Murphy-Barltrop, Dáire Healy et al.

Nov 22, 2024

Extremes

Financial Risk and Volatility Modeling

article

Extreme value methods for estimating rare events in Utopia

Eleanor D’Arcy, Matthew Speers, Callum John Rowlandson Murphy-Barltrop, Dáire Healy, Conor Murphy, L. M. André, Ryan Campbell, Aiden Farrell, Lydia Kakampakou

November 22, 2024article en

Abstract

No abstract available for this paper.

ExtremesVol. 28(1)

Ca' Foscari University of Venice (IT), Environment Agency (GB), German Research Centre for Artificial Intelligence (DE), Center for Scalable Data Analytics and Artificial Intelligence (DE), Lancaster University (GB), Technische Universität Dresden (DE)

Science Foundation Ireland, Engineering and Physical Sciences Research Council

Life in Land

Openalex Percentile: Top 71%

Financial Risk and Volatility Modeling

DOI Open Access PDF OpenAlex

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