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  • 标题:Bayesian identifiability: contributions to an inconclusive debate
  • 本地全文:下载
  • 作者:Ernesto San Martín ; Jorge González
  • 期刊名称:Chilean Journal of Statistics
  • 印刷版ISSN:0718-7912
  • 电子版ISSN:0718-7920
  • 出版年度:2010
  • 卷号:1
  • 期号:2
  • 页码:69-91
  • 出版社:Chilean Statistical Society
  • 摘要:Using the concept of reduction by suciency of a Bayesian model, the issue of Bayesian identi ability is discussed. Various statements given in the literature on Bayesian identi ability are revised. Particular attention is put on the possibility of updating unidenti ed parameters. This issue is discussed under a general framework and also carefully illustrated in a fully discrete Bayesian model.
  • 关键词:Minimal Sucient Parameter  Statistical Model  Sucient Parameter; Unidenti ed Parameter  Updating Process.
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