An Extension to the Scale Mixture of Normals for Bayesian Small-Area Estimation

An Extension to the Scale Mixture of Normals for Bayesian Small-Area Estimation

This work considers distributions obtained as scale mixture of normal densities for correlated random variables, in the context of the Markov random field theory, which is applied in Bayesian spatial intrinsically autoregressive random effect models. Conditions are established in order to guarantee...

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Bibliographic Details
Main Authors: FRANCISCO J. TORRES-AVILÉS, GLORIA ICAZA, REINALDO B. ARELLANO-VALLE
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2012-06-01
Series:Revista Colombiana de Estadística
Subjects:
Disease mapping
Markov random field
Hierarchical model
Incidence rate
Relative risk
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512012000200001&lng=en&tlng=en

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