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On Bayesian estimation of multinomial probabilities under incomplete experimental information

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Author Info
Pepa Ramirez ()
Brani Vidakovic ()
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.

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Paper provided by Universidad Carlos III, Departamento de Estadística y Econometría in its series Statistics and Econometrics Working Papers with number ws080503.

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Date of creation: Feb 2008
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Handle: RePEc:cte:wsrepe:ws080503

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Related research
Keywords: Patterns; Stopping times; Incomplete experimental information;

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This page was last updated on 2009-12-21.

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