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dc.coverage.spatialRaleigh
dc.creatorPage, Garritt L
dc.creatorQuintana-Quintana, Fernando Andrés
dc.date.accessioned2019-03-27T15:56:27Z
dc.date.available2019-03-27T15:56:27Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/10533/233448
dc.description.abstractMotivated by a study of players employed by teams in the National Basketball Association, we consider data structures where units of observation are functional curves. We are especially interested in a case where the observed functional output displays la
dc.language.isoeng
dc.titlePredictions Based on the Clustering of Heterogeneous Functions via Shape and Subject-Specific Covariates
dc.typePonencia
dc.identifier.folio1141057
dc.country.isoEstados Unidos De América
dc.description.conicytprogramFONDECYT
dc.relation.ncongress10°
dc.relation.projectidinfo:eu-repo/grantAgreement/Fondecyt/1141057
dc.rights.driverinfo:eu-repo/semantics/openAccess
dc.date.start2015
dc.date.end2015
dc.description.shortconicytprogramFONDECYT
dc.relation.namecongConference on Bayesian Nonparametrics


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