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  • 标题:Comment on Article by Dominici et al
  • 本地全文:下载
  • 作者:David Ruppert ; Raymond J. Carroll
  • 期刊名称:Bayesian Analysis
  • 印刷版ISSN:1931-6690
  • 电子版ISSN:1936-0975
  • 出版年度:2007
  • 卷号:2
  • 期号:1
  • 页码:37-42
  • 出版社:International Society for Bayesian Analysis
  • 摘要:We thank the authors for a very thought-provoking paper. They address a problem of great importance and have proposed an interesting and ingenious solution. It is quite challenging to develop a model that is suitable for the complex data structure presented by this problem, and the authors should be congratulated for their success.
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