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dc.contributor.advisorLewis, John
dc.contributor.authorMcGurk, Brian
dc.date.accessioned2018-12-06T12:40:56Z
dc.date.available2018-12-06T12:40:56Z
dc.date.issued2001
dc.identifier.citationBrian McGurk, 'Random sampling and large deviations', [thesis], Trinity College (Dublin, Ireland). School of Mathematics, 2001, PP 93
dc.identifier.otherTHESIS 6049
dc.identifier.urihttp://hdl.handle.net/2262/85488
dc.description.abstractIn this thesis, we are concerned with the effect of randomly sampling a stochastic process. We consider two stochastic processes: the underlying process, {Xt}tεT and the observation process {Tn}nεN, a strictly increasing process taking values in T . The process of interest is generated by sampling the underlying process at the times specified by the observation process, Yn:=XTn
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Mathematics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12460052
dc.subjectMathematics, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleRandom sampling and large deviations
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationPP 93
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.description.notePrint thesis water damaged as a result of the Berkeley Library Podium flood 25/10/2011


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