From Gambling to Random Modelling

dc.contributor.authorSanz-Solé, Marta
dc.date.accessioned2019-07-17T07:06:07Z
dc.date.available2019-07-17T07:06:07Z
dc.date.issued2019-05-07
dc.date.updated2019-07-17T07:06:07Z
dc.description.abstractAmong mathematical fields, probability stands out because of its short history and peculiar origins. Startingwith the analysis of games of chance, probability developed as the mathematical theory of uncertainty, andnowadays probabilistic methods impregnate models of random phenomena. Going through the scienti c careerof the Japanese mathematician Kyoshi Itô (1915-2008), we analyze his theory of stochastic analysis from theperspective of a symbiotic relationship between purely curiosity driven and applied research interests.
dc.format.extent5 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec690133
dc.identifier.issn2516-3841
dc.identifier.urihttps://hdl.handle.net/2445/137377
dc.language.isoeng
dc.publisherLondon Mathematical Society
dc.relation.isformatofReproducció del document publicat a: https://www.lms.ac.uk/sites/lms.ac.uk/files/files/NLMS_482_reduced.pdf
dc.relation.ispartofLMS Newsletter, 2019, vol. 482, p. 20-24
dc.rights(c) Sanz, Marta, 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.sourceArticles publicats en revistes (Matemàtiques i Informàtica)
dc.subject.classificationAnàlisi estocàstica
dc.subject.classificationProbabilitats
dc.subject.otherAnalyse stochastique
dc.subject.otherProbabilities
dc.titleFrom Gambling to Random Modelling
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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