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  • 标题:Divergent Priors and Well Behaved Bayes Factors
  • 本地全文:下载
  • 作者:Rodney W. Strachan ; Herman K. van Dijk
  • 期刊名称:Central European Journal of Economic Modelling and Econometrics
  • 印刷版ISSN:2080-0886
  • 电子版ISSN:2080-119X
  • 出版年度:2014
  • 期号:1
  • 页码:1-31
  • 语种:English
  • 出版社:Polska Akademia Nauk
  • 摘要:Bartlett’s paradox has been taken to imply that using improper priors results in Bayes factors that are not well defined, preventing model comparison in this case. We use well understood principles underlying what is already common practice, to demonstrate that this implication is not true for some improper priors, such as the Shrinkage prior due to Stein (1956). While this result would appear to expand the class of priors that may be used for computing posterior odds, we warn against the straightforward use of these priors. Highlighting the role of the prior measure in the behaviour of Bayes factors, we demonstrate pathologies in the prior measures for these improper priors. Using this discussion, we then propose a method of employing such priors by setting rules on the rate of diffusion of prior certainty.
  • 关键词:improper prior; Bayes factor; marginal likelihood; shrinkage prior
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