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文章基本信息

  • 标题:Rejoinder
  • 本地全文:下载
  • 作者:Sonia Jain ; Radford M. Neal
  • 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:3
  • 页码:495--500
  • 出版社:International Society for Bayesian Analysis
  • 摘要:Our conditionally conjugate split-merge technique belongs to the family of trans-dimensional MCMC algorithms, which includes, for example, reversible-jump MCMC (Green 1995), birth-death MCMC (Stephens 2000a), and split-merge MCMC (Jain and Neal 2004), (Dahl 2003). Trans-dimensional MCMC algorithms construct Markov chain transitions between states that vary in dimension. For Dirichlet process mixture models, this involves the creation or deletion of mixture components.
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