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Truncated Ordered Stick Breaking Financial Market Model and Corresponding Bayesian Estimation

dc.contributor.advisorFeng, Shui
dc.contributor.authorHe, Mu
dc.contributor.departmentMathematics and Statisticsen_US
dc.date.accessioned2016-09-26T15:14:25Z
dc.date.available2016-09-26T15:14:25Z
dc.date.issued2016
dc.description.abstractSeveral truncated models for market weights are discussed. To summarize, the new truncated ordered stick breaking model introduced give restrictions on the ranks of the markets weights and show better fitting results for real data sets.en_US
dc.description.degreeMaster of Science (MSc)en_US
dc.description.degreetypeThesisen_US
dc.identifier.urihttp://hdl.handle.net/11375/20520
dc.language.isoenen_US
dc.subjectPoisson-Dirichleten_US
dc.subjectGEMen_US
dc.subjectStick Breaking Processen_US
dc.subjectFinancial Marketen_US
dc.titleTruncated Ordered Stick Breaking Financial Market Model and Corresponding Bayesian Estimationen_US
dc.typeThesisen_US

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