Reference priors for discrete graphical models

The combination of graphical models and reference analysis represents a powerful tool for Bayesian inference in highly multivariate settings. It is typically difficult to derive reference priors in complex problems. In this paper we present a suitable mixed parameterisation for a discrete decomposable graphical model and derive the corresponding reference prior. Copyright 2006, Oxford University Press.

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Year of publication:	2006
Authors:	Consonni, Guido ; Leucari, Valentina
Published in:	Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 93.2006, 1, p. 23-40
Publisher:	Biometrika Trust

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005559458