Hybrids of Gibbs point process models and their implementation
We describe a simple way to construct new statistical models for spatial point pattern data. Taking two or more existing models (finite Gibbs spatial point processes) we multiply the probability densities together and renormalise to obtain a new probability density. We call the resulting model a hyb...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
JOURNAL STATISTICAL SOFTWARE
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/29082 |