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  • 标题:Fast approximation of the intensity of Gibbs point processes
  • 本地全文:下载
  • 作者:Adrian Baddeley ; Gopalan Nair
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2012
  • 卷号:6
  • 页码:1155-1169
  • DOI:10.1214/12-EJS707
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:The intensity of a Gibbs point process model is usually an intractable function of the model parameters. This is a severe restriction on the practical application of such models. We develop a new approximation for the intensity of a stationary Gibbs point process on $\mathbb{R}^{d}$. For pairwise interaction processes, the approximation can be computed rapidly and is surprisingly accurate. The new approximation is qualitatively similar to the mean field approximation, but is far more accurate, and does not exhibit the same pathologies. It may be regarded as a counterpart of the Percus-Yevick approximation.
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