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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Scandinavian Journal of Statistics. - Blackwell Publishers, 1974. - 31(2004), 3, Seite 403-416
1. Verfasser: Fushiki, Tadayoshi (VerfasserIn)
Weitere Verfasser: Komaki, Fumiyasu, Aihara, Kazuyuki
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2004
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