A Matrix-Variate t Model for Networks
dc.contributor.author | Billio, M | en_US |
dc.contributor.author | Casarin, R | en_US |
dc.contributor.author | Costola, M | en_US |
dc.contributor.author | Iacopini, M | en_US |
dc.date.accessioned | 2023-01-27T09:52:41Z | |
dc.date.available | 2021-04-12 | en_US |
dc.date.issued | 2021 | en_US |
dc.identifier.other | ARTN 674166 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/84059 | |
dc.relation.ispartof | FRONTIERS IN ARTIFICIAL INTELLIGENCE | en_US |
dc.rights | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | Bayesian | en_US |
dc.subject | financial markets | en_US |
dc.subject | matrix-variate distributions | en_US |
dc.subject | networks | en_US |
dc.subject | t distribution | en_US |
dc.subject | C11 | en_US |
dc.subject | C32 | en_US |
dc.subject | C58 | en_US |
dc.title | A Matrix-Variate t Model for Networks | en_US |
dc.type | Article | |
dc.rights.holder | © 2021 Billio, Casarin, Costola and Iacopini. | |
dc.identifier.doi | 10.3389/frai.2021.674166 | en_US |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000918059200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 4 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
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Except where otherwise noted, this item's license is described as This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.