A generalized linear finite mixture model and an EM algorithm to fit the model to data are described. By this approach the finite mixture model is embedded within the general framework of generalized ...
This article considers a new approximation to the log-likelihood surface in mixture models. This approximation is based on both the mean and variance of the full-data log-likelihood over imputations ...
Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent combination ...
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