Variational estimators for the parameters of Gibbs point process models
This paper proposes a new estimation technique for fitting parametric Gibbs point process models to a spatial point pattern dataset. The technique is a counterpart, for spatial point processes, of the variational estimators for Markov random fields developed by Almeida and Gidas. The estimator does...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
INT STATISTICAL INST
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/27366 |