Bayesian Inference Under Partial Prior Information

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Bayesian Inference Under Partial Prior Information

Partial prior information on the marginal distribution of an observable random variable is considered. When this information is incorporated into the statistical analysis of an assumed parametric model, the posterior inference is typically non-robust so that no inferential conclusion is obtained. To overcome this difficulty a method based on the standard default prior associated to the model an...

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ژورنال

عنوان ژورنال: Scandinavian Journal of Statistics

سال: 2003

ISSN: 0303-6898,1467-9469

DOI: 10.1111/1467-9469.00349