A HIDDEN MARKOV MODEL: DEPENDENCIES BETWEEN RANDOM VARIABLES AND ITS REPRESENTATION

B. SETIAWATY

Abstract


This article shows the nature of dependencies between random variables in a hidden Markov model. Using these properties,we will show that the law of a hidden Markov model is completely specified by a set of four parameters which is called a representation of the hidden Markov model. 


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DOI: https://doi.org/10.29244/jmap.1.2.11-22

ISSN: 1412-677X