Dynamical Dirichlet Mixture Model

In this report, we propose a statistical model to deal with the discrete-distribution data varying over time. The proposed model -- HMM+DM -- extends the Dirichlet mixture model to the dynamic case: Hidden Markov Model with Dirichlet mixture output. Both the inference and parameter estimation procedures are proposed. Experiments on the generated data verify the proposed algorithms. Finally, we discuss the potential applications of the current model.


Year:
2007
Publisher:
IDIAP
Laboratories:




 Record created 2010-02-11, last modified 2018-03-18

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