Bayesian nonparametric mixture models represent a powerful statistical framework that extends traditional mixture modelling by allowing the number of mixture components to be inferred from the data ...
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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 ...
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