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Bayesian Computation for Log-Gaussian Cox Processes: A Comparative Analysis of Methods
The Log-Gaussian Cox Process is a commonly used model for the analysis of spatial point pattern data. Fitting this model is difficult because of its doubly-stochastic property, i.e., it is an hierarchical combination of a Poisson process at the first level and a Gaussian Process at the second level....
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| Publicado no: | J Stat Comput Simul |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5708893/ https://ncbi.nlm.nih.gov/pubmed/29200537 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00949655.2017.1326117 |
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