Fast approximation of the intensity of Gibbs point processes

被引:27
作者
Baddeley, Adrian [1 ]
Nair, Gopalan [2 ]
机构
[1] CSIRO Math Informat & Stat, Leeuwin Ctr, Floreat, WA 6014, Australia
[2] Univ Western Australia, Sch Math & Stat, Crawley, WA 6009, Australia
关键词
Georgii-Nguyen-Zessin formula; Gibbs point process; Lambert W function; mean field approximation; pairwise inter-action point process; Palm distribution; Papangelou conditional intensity; Percus-Yevick approximation; Poisson approximation; Poisson-saddlepoint approximation; Strauss process; FIELD-LIKE APPROXIMATIONS; MODEL; PAIRWISE; SIMULATION; PATTERNS;
D O I
10.1214/12-EJS707
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
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 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.
引用
收藏
页码:1155 / 1169
页数:15
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