A default prior distribution for contingency tables with dependent factor levels

Antony Overstall, Ruth King

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
3 Downloads (Pure)

Abstract

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 involving 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.
Original languageEnglish
Pages (from-to)90-99
Number of pages9
JournalStatistical Methodology
Volume16
Issue number1
Early online date23 Aug 2013
DOIs
Publication statusPublished - Jan 2014

Keywords

  • Contingency table
  • Dependence strusture
  • Default prior

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