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Lévy processes
dc.contributor.advisorBeneš, Viktor
dc.creatorHonzl, Ondřej
dc.date.accessioned2017-04-10T10:49:33Z
dc.date.available2017-04-10T10:49:33Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/20.500.11956/14890
dc.description.abstractIn the present thesis a short introduction into the theory of L'evy processes and subordinators is mentioned. It contains also basic results from the theory of point processes, especially of the Cox process. Furture it specializes to the description of the dependence structure of components of multidimensional subordinators using L'evy copulas. There are examples presented of parametric families of L'evy copulas. On their basis graphs of cross-pair correlation functions, defined analogously to the Cox point process case, are investigated. The work also shows the possibility of simulation of multidimensional subordinators using mentioned families of L'evy copulas. Finally it deals with estimation parameters of Gamma-Ornstein-Uhlenbeck process. It is applied an approach based on Bayes theorem and Markov Chain Monte Carlo method with consequential using of Newton-Raphson algorithm and aproximative likelihood.en_US
dc.languageČeštinacs_CZ
dc.language.isocs_CZ
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleLévyho procesycs_CZ
dc.typediplomová prácecs_CZ
dcterms.created2008
dcterms.dateAccepted2008-05-15
dc.description.departmentDepartment of Probability and Mathematical Statisticsen_US
dc.description.departmentKatedra pravděpodobnosti a matematické statistikycs_CZ
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.identifier.repId45984
dc.title.translatedLévy processesen_US
dc.contributor.refereeProkešová, Michaela
dc.identifier.aleph000971327
thesis.degree.nameMgr.
thesis.degree.levelnavazující magisterskécs_CZ
thesis.degree.disciplineProbability, mathematical statistics and econometricsen_US
thesis.degree.disciplinePravděpodobnost, matematická statistika a ekonometriecs_CZ
thesis.degree.programMatematikacs_CZ
thesis.degree.programMathematicsen_US
uk.thesis.typediplomová prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra pravděpodobnosti a matematické statistikycs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Probability and Mathematical Statisticsen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csPravděpodobnost, matematická statistika a ekonometriecs_CZ
uk.degree-discipline.enProbability, mathematical statistics and econometricsen_US
uk.degree-program.csMatematikacs_CZ
uk.degree-program.enMathematicsen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enIn the present thesis a short introduction into the theory of L'evy processes and subordinators is mentioned. It contains also basic results from the theory of point processes, especially of the Cox process. Furture it specializes to the description of the dependence structure of components of multidimensional subordinators using L'evy copulas. There are examples presented of parametric families of L'evy copulas. On their basis graphs of cross-pair correlation functions, defined analogously to the Cox point process case, are investigated. The work also shows the possibility of simulation of multidimensional subordinators using mentioned families of L'evy copulas. Finally it deals with estimation parameters of Gamma-Ornstein-Uhlenbeck process. It is applied an approach based on Bayes theorem and Markov Chain Monte Carlo method with consequential using of Newton-Raphson algorithm and aproximative likelihood.en_US
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistikycs_CZ
dc.identifier.lisID990009713270106986


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