Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning

Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2462

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DC Field	Value	Language
dc.creator	Zhao, Yichuan
dc.creator	Chen, Chi-Hua
dc.creator	Feng, Feng
dc.creator	Pamučar, Dragan
dc.date.accessioned	2023-05-12T11:48:32Z	-
dc.date.available	2023-05-12T11:48:32Z	-
dc.date.issued	2023
dc.identifier.issn	0266-4763
dc.identifier.uri	https://rfos.fon.bg.ac.rs/handle/123456789/2462	-
dc.publisher	Taylor & Francis Ltd, Abingdon
dc.rights	restrictedAccess
dc.source	Journal of Applied Statistics
dc.title	Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning	en
dc.type	contributionToPeriodical
dc.rights.license	ARR
dc.citation.epage	455
dc.citation.issue	3
dc.citation.other	50(3): 451-455
dc.citation.rank	M22~
dc.citation.spage	451
dc.citation.volume	50
dc.identifier.doi	10.1080/02664763.2023.2162471
dc.identifier.pmid	36819088
dc.identifier.rcub	conv_2848
dc.identifier.scopus	2-s2.0-85147887158
dc.identifier.wos	000934197200001
dc.type.version	publishedVersion
item.cerifentitytype	Publications	-
item.fulltext	With Fulltext	-
item.grantfulltext	restricted	-
item.openairetype	contributionToPeriodical	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
Appears in Collections:	Radovi istraživača / Researchers’ publications

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