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 ...

This paper describes the application of finite-mixture general linear models based on the beta distribution to modeling response styles, polarization, anchoring, and priming effects in probability ...

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 ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

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