Asymptotic Global Robustness in Bayesian Decision Theory

In Bayesian decision theory, it is known that robustness with respect to the loss and the prior can be improved by adding new observations. In this article we study the rate of robustness improvement with respect to the number of observations n. Three usual measures of posterior global robustness ar...

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Bibliographische Detailangaben
Veröffentlicht in:The Annals of Statistics. - Institute of Mathematical Statistics. - 32(2004), 4, Seite 1341-1366
1. Verfasser: Abraham, Christophe (VerfasserIn)
Weitere Verfasser: Cadre, Benoît
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2004
Zugriff auf das übergeordnete Werk:The Annals of Statistics
Schlagworte:Bayesian Decision Theory Asymptotic Robustness Class of Loss Functions Behavioral sciences Mathematics Information science Physical sciences