Ramírez-Cobo, PepaVidakovic, BraniUniversidad Carlos III de Madrid. Departamento de Estadística2008-02-192008-02-192008-02https://hdl.handle.net/10016/1317In 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.application/pdfengAtribución-NoComercial-SinDerivadas 3.0 EspañaPatternsStopping timesIncomplete experimental informationworking paperEstadísticaopen accessws080503