On Bayesian estimation of multinomial probabilities under incomplete experimental information

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dc.contributor.author Ramírez-Cobo, Pepa
dc.contributor.author Vidakovic, Brani
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2008-02-19T09:29:33Z
dc.date.available 2008-02-19T09:29:33Z
dc.date.issued 2008-02
dc.identifier.uri http://hdl.handle.net/10016/1317
dc.description.abstract In 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.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries 08-03
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Patterns
dc.subject.other Stopping times
dc.subject.other Incomplete experimental information
dc.title On Bayesian estimation of multinomial probabilities under incomplete experimental information
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws080503
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