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Inferential Models
book

Inferential Models

by Ryan Martin, Chuanhai Liu
September 2015
Intermediate to advanced content levelIntermediate to advanced
276 pages
9h 7m
English
Chapman and Hall/CRC
Content preview from Inferential Models
30 PRIOR-FREE PROBABILISTIC INFERENCE
2.3.1.3 Difficulties with objective Bayes
The motivation for the Bayesian approach comes from the classical setting where pri-
ors are meant to be subjective. Examples of such philosophical motivations include
deductions based on rationality axioms, coherence, exchangeability and de Finetti’s
theorem, and Birnbaum’s theorem on the likelihood principle, all reviewed in [111].
At best, these results suggest that a Bayesian analysis is appropriate, but they do not
say anything about what prior to use. So, when there is no prior information available,
these results are less than fully convincing.
Additional concerns, which have received less attention in the literature com-
pared to those mentioned above, are about
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Publisher Resources

ISBN: 9781439886519