On Nonparametric Predictive Inference for Ordinal Data

  title={On Nonparametric Predictive Inference for Ordinal Data},
  author={Frank P. A. Coolen and Pauline Coolen-Schrijner and Tahani A. Maturi},
Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, made possible by the use of lower and upper probabilities. In this paper, NPI is presented for ordinal data, which are categorical data with an ordering of the categories. The method uses a latent variable representation of the observations and categories on the real line. Lower and upper probabilities for events involving the… CONTINUE READING

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