Specification of prior distributions under model uncertainty

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Summary

A particular joint specification of the prior distribution across models is proposed so that sensitivity of posterior model probabilities to the dispersion of prior distributions for the parameters of individual models (Lindley's paradox) is diminished.

Type
article
Published
2009-05-13
Cited by
0
References
47
Access
Open access

Keywords

Bayesian linear regression, Posterior predictive distribution, Prior probability, Bayesian probability, Mathematics

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