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文章基本信息

  • 标题:Gibbs sampling, conjugate priors and coupling
  • 作者:Persi Diaconis ; Kshitij Khare ; Laurent Saloff-Coste
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2010
  • 卷号:72
  • 期号:1
  • 页码:136-169
  • DOI:10.1007/s13171-010-0004-7
  • 语种:English
  • 出版社:Indian Statistical Institute
  • 摘要:We give a large family of simple examples where a sharp analysis of the Gibbs sampler can be proved by coupling. These examples involve standard statistical models — exponential families with conjugate priors or location families with natural priors. Our main approach uses a single eigenfunction (always explicitly available in the examples in question) and stochastic monotonicity. We give a satisfactory treatment of several examples that have defeated previous attempts at analysis.
  • 关键词:Gibbs sampling ; exponential families ; stochastic monotonicity ; coupling ; location families
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