Corpus ID: 128259615

Is infinity that far? A Bayesian nonparametric perspective of finite mixture models

  title={Is infinity that far? A Bayesian nonparametric perspective of finite mixture models},
  author={Raffaele Argiento and Maria De Iorio},
  journal={arXiv: Methodology},
Mixture models are one of the most widely used statistical tools when dealing with data from heterogeneous populations. This paper considers the long-standing debate over finite mixture and infinite mixtures and brings the two modelling strategies together, by showing that a finite mixture is simply a realization of a point process. Following a Bayesian nonparametric perspective, we introduce a new class of prior: the Normalized Independent Point Processes. We investigate the probabilistic… Expand
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