A design-based approximation to the Bayes Information Criterion in finite population sampling
In this article, various issues related to the implementation of the usual Bayesian Information Criterion (BIC) are critically examined in the context of modelling a finite population. A suitable design-based approximation to the BIC is proposed in order to avoid the derivation of the exact likeliho...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Bologna
2014-05-01
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| Series: | Statistica |
| Subjects: | |
| Online Access: | http://rivista-statistica.unibo.it/article/view/4325 |