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A default prior distribution for contingency tables with dependent factor levels
A default prior distribution is proposed for the Bayesian analysis of contingency tables. The prior is specified to allow for dependence between levels of the factors. Different dependence structures are considered, including conditional autoregressive and distance correlation structures. To demonst...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990456/ https://www.ncbi.nlm.nih.gov/pubmed/24748854 http://dx.doi.org/10.1016/j.stamet.2013.08.007 |
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author | Overstall, Antony M. King, Ruth |
author_facet | Overstall, Antony M. King, Ruth |
author_sort | Overstall, Antony M. |
collection | PubMed |
description | A default prior distribution is proposed for the Bayesian analysis of contingency tables. The prior is specified to allow for dependence between levels of the factors. Different dependence structures are considered, including conditional autoregressive and distance correlation structures. To demonstrate the prior distribution, a dataset is considered which involves estimating the number of injecting drug users in the eleven National Health Service board regions of Scotland using an incomplete contingency table where the dependence structure relates to geographical regions. |
format | Online Article Text |
id | pubmed-3990456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-39904562014-04-18 A default prior distribution for contingency tables with dependent factor levels Overstall, Antony M. King, Ruth Stat Methodol Article A default prior distribution is proposed for the Bayesian analysis of contingency tables. The prior is specified to allow for dependence between levels of the factors. Different dependence structures are considered, including conditional autoregressive and distance correlation structures. To demonstrate the prior distribution, a dataset is considered which involves estimating the number of injecting drug users in the eleven National Health Service board regions of Scotland using an incomplete contingency table where the dependence structure relates to geographical regions. Elsevier 2014-01 /pmc/articles/PMC3990456/ /pubmed/24748854 http://dx.doi.org/10.1016/j.stamet.2013.08.007 Text en © 2014 Elsevier B.V. https://creativecommons.org/licenses/by/3.0/This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Overstall, Antony M. King, Ruth A default prior distribution for contingency tables with dependent factor levels |
title | A default prior distribution for contingency tables with dependent factor levels |
title_full | A default prior distribution for contingency tables with dependent factor levels |
title_fullStr | A default prior distribution for contingency tables with dependent factor levels |
title_full_unstemmed | A default prior distribution for contingency tables with dependent factor levels |
title_short | A default prior distribution for contingency tables with dependent factor levels |
title_sort | default prior distribution for contingency tables with dependent factor levels |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990456/ https://www.ncbi.nlm.nih.gov/pubmed/24748854 http://dx.doi.org/10.1016/j.stamet.2013.08.007 |
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