Concerning the problem of estimating structural parameters and smoothing cells in complex contingency tables, we delineate a non standard approach – the "Constrained Fixed Point" - which is pseudo-Bayes (Agresti, 1990, pp. 466) and shares some basic ideas with the Prior Feedback Setup (Casella & Robert, 2002). Applied to a reference data set, it elicits a data-dependent prior which is structured according to the order-restricted log multiplicative model. It might be a practicable alternative to the full maximum likelihood (Ritov & Gilula, 1991) and intensive inferential tools as Gibbs sampling (Brink and Smith, 1996).

Data Dependent Prior Modeling and Estimation in Contingency Tables. TheOrder-Restricted RC Model

D'EPIFANIO, Giulio
2005

Abstract

Concerning the problem of estimating structural parameters and smoothing cells in complex contingency tables, we delineate a non standard approach – the "Constrained Fixed Point" - which is pseudo-Bayes (Agresti, 1990, pp. 466) and shares some basic ideas with the Prior Feedback Setup (Casella & Robert, 2002). Applied to a reference data set, it elicits a data-dependent prior which is structured according to the order-restricted log multiplicative model. It might be a practicable alternative to the full maximum likelihood (Ritov & Gilula, 1991) and intensive inferential tools as Gibbs sampling (Brink and Smith, 1996).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11391/33573
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