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 ...
Estimators derived from the expectation-maximization (EM) algorithm are not robust since they are based on the maximization of the likelihood function. We propose an iterative proximal-point algorithm ...
We used conventional and finite mixture removal models with and without time-varying covariates to evaluate availability given presence for 152 bird species using data from point counts in boreal ...
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