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On Bayesian estimation of multinomial probabilities under incomplete experimental information

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorRamírez-Cobo, Pepa
dc.contributor.authorVidakovic, Brani
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned2008-02-19T09:29:33Z
dc.date.available2008-02-19T09:29:33Z
dc.date.issued2008-02
dc.description.abstractIn this work, we discuss Bayesian estimation of multinomial probabilities associated with a finite alphabet A under incomplete experimental information. Two types of prior information are considered: (i) number of letters needed to see a particular pattern for the first time, and (ii) the fact that for two fixed words one appeared before the other.
dc.format.mimetypeapplication/pdf
dc.identifier.repecws080503
dc.identifier.urihttps://hdl.handle.net/10016/1317
dc.language.isoeng
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries08-03
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEstadística
dc.subject.otherPatterns
dc.subject.otherStopping times
dc.subject.otherIncomplete experimental information
dc.titleOn Bayesian estimation of multinomial probabilities under incomplete experimental information
dc.typeworking paper*
dspace.entity.typePublication
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