Bayes Prediction Density in Linear Models

  • Kim, S.H. (Associate Professor, Department of Statistics and Information, Anyang University, Anyang-shi 430-714)
  • Published : 2001.12.01

Abstract

This paper obtained Bayes prediction density for the spatial linear model with non-informative prior. It showed the results that predictive inferences is completely unaffected by departures from the normality assumption in the direction of the elliptical family and the structure of prediction density is unchanged by more than one additional future observations.

Keywords

References

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