Corpus ID: 210847837

Finite-dimensional discrete random structures and Bayesian clustering

@inproceedings{Lijoi2020FinitedimensionalDR,
  title={Finite-dimensional discrete random structures and Bayesian clustering},
  author={Antonio Lijoi and Igor Pr{\"u}nster and Tommaso Rigon},
  year={2020}
}
Discrete random probability measures stand out as effective tools for Bayesian clustering. The investigation in the area has been very lively, with a strong emphasis on nonparametric procedures based on either the Dirichlet process or on more flexible generalizations, such as the normalized random measures with independent increments (nrmi). The literature on finite-dimensional discrete priors is much more limited and mostly confined to the standard Dirichlet-multinomial model. While such a… CONTINUE READING

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