Coexchangeable Process Modeling for Uncertainty Quantification in Joint Climate Reconstruction

Astfalck, L., Williamson, D., Gandy, N. et al. (2 more authors) (2024) Coexchangeable Process Modeling for Uncertainty Quantification in Joint Climate Reconstruction. Journal of the American Statistical Association, 119 (547). pp. 1751-1764. ISSN 0162-1459

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Item Type: Article
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© 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Bayes linear methods, exchangeability analysis, multi model ensemble
Dates:
  • Published: 2 July 2024
  • Published (online): 17 April 2024
  • Accepted: 21 February 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
Funding Information:
Funder
Grant number
RCUK (Research Councils UK)
MR/S016961/1
Depositing User: Symplectic Publications
Date Deposited: 07 Mar 2024 15:36
Last Modified: 09 Dec 2024 09:53
Status: Published
Publisher: Taylor & Francis
Identification Number: 10.1080/01621459.2024.2325705
Open Archives Initiative ID (OAI ID):

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