On Bayesian estimation of multinomial probabilities under incomplete experimental information

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