Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/186621
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dc.contributor.advisorRovira Escofet, Carles-
dc.contributor.authorHernández Camacho, Asier-
dc.date.accessioned2022-06-14T08:40:11Z-
dc.date.available2022-06-14T08:40:11Z-
dc.date.issued2022-01-24-
dc.identifier.urihttps://hdl.handle.net/2445/186621-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Carles Rovira Escofetca
dc.description.abstract[en] The work you will read below deals with a special type of random process called the Markov Chain. We will aim to study and understand the basis of this random process when it occurs in discrete time and its evolution does not depend on time. Finally, we will look at some of many applications that Markov chains have inside and outside the mathematical field.ca
dc.format.extent49 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isocatca
dc.rightscc-by-nc-nd (c) Asier Hernández Camacho, 2022-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques-
dc.subject.classificationProcessos estocàsticsca
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationProcessos de Markovca
dc.subject.classificationProbabilitatsca
dc.subject.otherStochastic processesen
dc.subject.otherBachelor's theses-
dc.subject.otherMarkov processesen
dc.subject.otherProbabilitiesen
dc.titleCadenes de Markov a temps discretca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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