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Mixed-stable modelling of high-frequency financial data using parallel computing

dc.contributor.authorBelovas, Igoris
dc.contributor.authorStarikovičius, Vadimas
dc.date.accessioned2023-09-18T19:59:01Z
dc.date.available2023-09-18T19:59:01Z
dc.date.issued2012
dc.identifier.other(BIS)VGT02-000027389
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/145523
dc.format.extentp. 1-2
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.titleMixed-stable modelling of high-frequency financial data using parallel computing
dc.typeStraipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed source
dcterms.references2
dc.type.pubtypeS4 - Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed publication
dc.contributor.institutionVilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dcterms.sourcetitleHPC-Europa2. Science and Supercomputing in Europe: research highlights 2012
dc.publisher.nameCINECA
dc.publisher.cityBologna
dc.identifier.elaba4049044


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