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文章基本信息

  • 标题:S. James Press and Bayesian Analysis
  • 本地全文:下载
  • 作者:Arnold Zellner
  • 期刊名称:Mutis
  • 印刷版ISSN:2256-1498
  • 出版年度:2009
  • 卷号:1
  • 期号:1
  • 页码:98-118
  • 出版社:Universidad Jorge Tadeo Lozano
  • 摘要:S. James Press’s many contributions to statistical research, lecturing, mentoring students, the statistics profession, etc. are summarized. Then some new developments in Bayesian analysis are described and remarks on the future of Bayesian analysis are presented.
  • 关键词:S;James Press;Bayesian analysis;statistical inference;optimal learning models;Bayes’ theorem
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