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Density based classes of priors: Infinitesimal properties and approximations

Articolo
Data di Pubblicazione:
1995
Abstract:
We define a notion of local sensitivity for classes of prior densities. The local sensitivity measures how much a small change in the prior affects the posterior. We find an explicit expression for this local sensitivity and we use it as a diagnostic for robustness. We also show that the local sensitivity can be used to find simple, accurate approximations to upper and lower bounds of posterior expectations. © 1995.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
62F15; 62F35; Bayesian robustness; Density ratio classes; Infinitesimal sensitivity
Elenco autori:
Ruggeri, Fabrizio
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/291163
Pubblicato in:
JOURNAL OF STATISTICAL PLANNING AND INFERENCE
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-0010132153&origin=inward
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