Neural network expression rates and applications of the deep parametric PDE method in counterparty credit risk
dc.contributor.author | Glau, K | en_US |
dc.contributor.author | Wunderlich, L | en_US |
dc.date.accessioned | 2023-05-03T14:57:12Z | |
dc.date.available | 2023-03-20 | en_US |
dc.date.issued | 2023-04-13 | en_US |
dc.identifier.issn | 1572-9338 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/86125 | |
dc.format.extent | 1 - 27 | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Annals of Operations Research | en_US |
dc.rights | This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.title | Neural network expression rates and applications of the deep parametric PDE method in counterparty credit risk | en_US |
dc.type | Article | |
dc.rights.holder | © 2023 The Author(s). Published by Springer Nature | |
dc.identifier.doi | 10.1007/s10479-023-05315-4 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
dcterms.dateAccepted | 2023-03-20 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | Deep Learning Reduced Basis Method for High-Dimensional Parametric Partial Differential Equations in Finance::Engineering and Physical Sciences Research Council | en_US |
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Except where otherwise noted, this item's license is described as This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.