On Bayesian estimation of multinomial probabilities under incomplete experimental information

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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Year of publication:	2008-02
Authors:	Ramirez, Pepa ; Vidakovic, Brani
Institutions:	Departamento de Estadistica, Universidad Carlos III de Madrid
Subject:	Patterns \| Stopping times \| Incomplete experimental information

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Extent:	application/pdf
Series:	Statistics and Econometrics Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005767701