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文章基本信息

  • 标题:Perfect Simulation of the Hard Disks Model by Partial Rejection Sampling
  • 作者:Heng Guo ; Mark Jerrum
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2018
  • 卷号:107
  • 页码:69:1-69:10
  • DOI:10.4230/LIPIcs.ICALP.2018.69
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We present a perfect simulation of the hard disks model via the partial rejection sampling method. Provided the density of disks is not too high, the method produces exact samples in O(log n) rounds, where n is the expected number of disks. The method extends easily to the hard spheres model in d>2 dimensions. In order to apply the partial rejection method to this continuous setting, we provide an alternative perspective of its correctness and run-time analysis that is valid for general state spaces.
  • 关键词:Hard disks model; Sampling; Markov chains
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