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dc.contributor.authorMyllymäki, Mari
dc.date.accessioned2009-12-11T09:24:03Z
dc.date.available2009-12-11T09:24:03Z
dc.date.issued2009
dc.identifier.isbn978-951-39-3683-9
dc.identifier.otheroai:jykdok.linneanet.fi:1113940
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/22540
dc.format.extentv, 115 sivua : kuvitettu
dc.language.isoeng
dc.publisherUniversity of Jyväskylä
dc.relation.ispartofseriesReport / University of Jyväskylä. Department of Mathematics and Statistics
dc.relation.isversionofJulkaistu myös verkojulkaisuna.
dc.rightsIn Copyright
dc.subject.otherBayesian modelling
dc.subject.otherBitterlich sampling
dc.subject.otherdensity-dependence
dc.subject.otherGaussian excursion set
dc.subject.otherlog Gaussian Cox process
dc.subject.othermark-dependent thinning
dc.subject.othermarked point process
dc.subject.otherMCMC
dc.subject.otherpine samplings
dc.subject.otherrandom set marked Cox process
dc.subject.othertropical rainforest
dc.titleStatistical models and inference for spatial point patterns with intensity-dependent marks
dc.typeDiss.
dc.identifier.urnURN:ISBN:978-951-39-3683-9
dc.type.dcmitypeTexten
dc.type.ontasotVäitöskirjafi
dc.type.ontasotDoctoral dissertationen
dc.contributor.tiedekuntaFaculty of Mathematics and Scienceen
dc.contributor.tiedekuntaMatemaattis-luonnontieteellinen tiedekuntafi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTilastotiedefi
dc.relation.issn1457-8905
dc.relation.numberinseries120
dc.rights.accesslevelopenAccess
dc.subject.ysotilastomenetelmät
dc.subject.ysobayesilainen menetelmä
dc.subject.ysoMonte Carlo -menetelmät
dc.subject.ysoalgoritmit
dc.subject.ysosademetsät
dc.rights.urlhttps://rightsstatements.org/page/InC/1.0/


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