• Bernoulli
  • Volume 12, Number 1 (2006), 157-168.

Multivariate prediction

José Manuel Corcuera and Federica Giummolè

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The problem of prediction is considered in a multidimensional setting. Extending an idea presented by Barndorff-Nielsen and Cox, a predictive density for a multivariate random variable of interest is proposed. This density has the form of an estimative density plus a correction term. It gives simultaneous prediction regions with coverage error of smaller asymptotic order than the estimative density. A simulation study is also presented showing the magnitude of the improvement with respect to the estimative method.

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Bernoulli, Volume 12, Number 1 (2006), 157-168.

First available in Project Euclid: 28 February 2006

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Zentralblatt MATH identifier

ancillary statistic coverage probability estimative density prediction regions predictive density


Manuel Corcuera, José; Giummolè, Federica. Multivariate prediction. Bernoulli 12 (2006), no. 1, 157--168.

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