Espaco De Estados Nito
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1. Estimação paramétrica e não-paramétrica em modelos de markov ocultos
In this work we study the Hidden Markov Models with nite as well as general state space. In the nite case, the forward and backward algorithms are considered and the probability of a given observed sequence is computed. Next, we use the EM algorithm to estimate the model parameters. In the general case, the kernel estimators are used and to built a sequence
Publicado em: 2010