On Parametric Bootstrapping and Bayesian Prediction
We investigate bootstrapping and Bayesian methods for prediction. The observations and the variable being predicted are distributed according to different distributions. Many important problems can be formulated in this setting. This type of prediction problem appears when we deal with a Poisson pro...
Veröffentlicht in: | Scandinavian Journal of Statistics. - Blackwell Publishers, 1974. - 31(2004), 3, Seite 403-416 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2004
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Zugriff auf das übergeordnete Werk: | Scandinavian Journal of Statistics |
Schlagworte: | asymptotic theory Bayesian prediction bootstrap predictive distribution information geometry Kullback-Leibler divergence Mathematics Applied sciences Philosophy Behavioral sciences |
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