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Consonni, Guido
Leucari, Valentina
Year of Publication: 
Series/Report no.: 
Quaderni di Dipartimento, EPMQ, Università degli Studi di Pavia 181
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.
Decomposable model
Fisher information matrix
Mixed parameterisation
Natural exponential family
Document Type: 
Working Paper

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