Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101837
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.creatorTang, Nen_US
dc.creatorLiu, Cen_US
dc.creatorShi, JQen_US
dc.creatorHuang, Yen_US
dc.date.accessioned2023-09-18T07:45:05Z-
dc.date.available2023-09-18T07:45:05Z-
dc.identifier.urihttp://hdl.handle.net/10397/101837-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rightsCopyright © 2022 Tang, Liu, Shi and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). 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.en_US
dc.rightsThe following publication Tang N, Liu C, Shi JQ and Huang Y (2022) Editorial: Bayesian Inference and AI. Front. Big Data 5:934362 is available at https://doi.org/10.3389/fdata.2022.934362.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectBayesian inferenceen_US
dc.subjectLinkage tailoringen_US
dc.subjectMarkov chain Monte Carloen_US
dc.subjectPosterior expectationen_US
dc.subjectText debiasingen_US
dc.subjectWasserstein Impact Measureen_US
dc.titleEditorial : Bayesian inference and AIen_US
dc.typeEditorial/Preface (Journal)en_US
dc.identifier.volume5en_US
dc.identifier.doi10.3389/fdata.2022.934362en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in big data, June 2022, v. 5, 934362en_US
dcterms.isPartOfFrontiers in big dataen_US
dcterms.issued2022-06-
dc.identifier.scopus2-s2.0-85134261002-
dc.identifier.eissn2624-909Xen_US
dc.identifier.artn934362en_US
dc.description.validate202309 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceNot mentionen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
fdata-05-934362.pdf91.81 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

125
Last Week
4
Last month
Citations as of Nov 10, 2025

Downloads

34
Citations as of Nov 10, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.