Nature

Finite Mixture Models and Hidden Markov Models

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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A Bayesian sparse finite mixture model for clustering data from a heterogeneous population

In this paper, we introduce a Bayesian approach for clustering data using a sparse finite mixture model (SFMM). The SFMM is a finite mixture model with a large number of components k previously fixed ...
JSTOR Daily

Modal simulation and visualization in finite mixture models

The Canadian Journal of Statistics / La Revue Canadienne de Statistique Vol. 39, No. 3, A special issue of CJS in honour of Jack Kalbfleisch and Jerry Lawless / Un numéro spécial de la Revue ...