Rejoinder to the discussion of "Model-based clustering and classification with non-normal mixture distributions"

@article{Lee2013RejoinderTT,
  title={Rejoinder to the discussion of "Model-based clustering and classification with non-normal mixture distributions"},
  author={Sharon X. Lee and Geoffrey J. McLachlan},
  journal={Statistical Methods and Applications},
  year={2013},
  volume={22},
  pages={473-479}
}
Non-normal mixture distributions have received increasing attention in recent years. Finite mixtures of multivariate skew-symmetric distributions, in particular, the skew normal and skew t-mixture models, are emerging as promising extensions to the traditional normal and t-mixture models. Most of these parametric families of skew distributions are closely related, and can be classified into four forms under a recently proposed scheme, namely, the restricted, unrestricted, extended, and… CONTINUE READING
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Maximum likelihood estimation for multivariate skew-normal mixture models

  • TI Lin
  • Journal of Multivariate Analysis
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Highly Influential
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