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dc.contributor.authorYang Xinxia-
dc.date.accessioned2017-03-07T05:17:18Z-
dc.date.available2017-03-07T05:17:18Z-
dc.date.issued2016-
dc.identifier.urihttp://sutir.sut.ac.th:8080/jspui/handle/123456789/6178-
dc.format.extent3125958 bytes-
dc.format.extent239121 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherSchool of Mathematics. Institute of Science. Suranaree University of Technology.en
dc.subjectValue at risken
dc.subjectStochastic volatility modelen
dc.subjectGarch modelen
dc.subjectParticle filteren
dc.subjectMCMCen
dc.subjectSupport vector regressionen
dc.titleEstimation of value at risk using an adaptive mcmc method and support vector regressionen
dc.title.alternativeการประมาณค่าแวลูแอทริสก์ด้วยวิธีการอนุภาคเอ็มซีเอ็มซีปรับได้และการถดถอยซับพอร์ทเวกเตอร์en
dc.typeThesisen
dc.degree.nameDoctor of Philosophy-
dc.degree.levelDoctoral Degree-
dc.degree.disciplineApplied Mathematics-
dc.degree.grantorSuranaree University of Technology-
Appears in Collections:วิทยานิพนธ์ (Thesis)

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