Title:
On Bayesian estimation of multinomial probabilities under incomplete experimental information
On Bayesian estimation of multinomial probabilities under incomplete experimental information
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Ramírez, Pepa
Vidakovic, Brani
Vidakovic, Brani
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Abstract
In this note, 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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2007-05-28
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Technical Report