Derechos:
Atribución-NoComercial-SinDerivadas 3.0 España
Resumen:
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 fIn 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.[+][-]