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  • 标题:Gibbs sampling, conjugate priors and coupling
  • 本地全文:下载
  • 作者:Persi Diaconis Stanford University ; Palo Alto ; USA Kshitij Khare University of Florida, Gainesville
  • 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:01
  • 页码:136--169
  • 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 statis- tical 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 monotonic- ity. 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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