On Bayesian estimation of multinomial probabilities under incomplete experimental information

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Ramírez, Pepa
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Wallace H. Coulter Department of Biomedical Engineering
The joint Georgia Tech and Emory department was established in 1997
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http://hdl.handle.net/1853/25835
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
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