On Bayesian estimation of multinomial probabilities under incomplete experimental information

Pepa Ramírez-Cobo and Brani Vidakovic

DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de Estadística

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.

Keywords: Patterns; Stopping; times; Incomplete; experimental; information (search for similar items in EconPapers)
Date: 2008-02
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Persistent link: https://EconPapers.repec.org/RePEc:cte:wsrepe:ws080503

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