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Article . 1997 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 1997
Data sources: zbMATH Open
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Reference priors in multiparameter nonregular cases

Authors: Ghosal, S.;

Reference priors in multiparameter nonregular cases

Abstract

A reference prior is suggested in some multiparameter non-regular cases. It is based on an asymptotic expansion of Lindley's measure of information [\textit{D. V. Lindley}, Ann. Math. Statistics 27, 986-1005 (1956; Zbl 0073.14103)] which is the expected Kullback-Leibler divergence between the posterior and prior. It is assumed that the family of densities depends on two parameters and that there are discontinuities at some points which depend on one of the parameters.

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Keywords

reference prior, Bayesian inference, Lindley's measure of information, expected Kullback-Leibler divergence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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