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dc.contributor.advisorPapathomas, Michail
dc.contributor.advisorThomas, Len
dc.contributor.authorJing, Wei
dc.coverage.spatialv, 249 p.en_US
dc.date.accessioned2022-11-03T15:42:19Z
dc.date.available2022-11-03T15:42:19Z
dc.date.issued2022-11-29
dc.identifier.urihttp://hdl.handle.net/10023/26299
dc.description.abstractAbstract redacteden_US
dc.description.sponsorship"This work was supported by the Centre for Research into Ecological & Environmental Modelling (CREEM); and the School of Mathematics and Statistics; and the St Leonard's Postgraduate College." -- Fundingen
dc.language.isoenen_US
dc.titleAdvances on priors for the Dirichlet process mixture model with Gaussian kernelsen_US
dc.typeThesisen_US
dc.contributor.sponsorUniversity of St Andrews. Centre for Research into Ecological and Environmental Modelling (CREEM)en_US
dc.contributor.sponsorUniversity of St Andrews. School of Mathematics and Statisticsen_US
dc.contributor.sponsorUniversity of St Andrews. St Leonard's Collegeen_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US
dc.rights.embargodate2024-06-21
dc.rights.embargoreasonThesis restricted in accordance with University regulations. Restricted until 21st June 2024en
dc.identifier.doihttps://doi.org/10.17630/sta/218


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