Publikationer pr. år
Publikationer pr. år
Ninna Vihrs, Jesper Møller*, Alan E. Gelfand
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
In this article, we propose a doubly stochastic spatial point process model with both aggregation and repulsion. This model combines the ideas behind Strauss processes and log Gaussian Cox processes. The likelihood for this model is not expressible in closed form but it is easy to simulate realizations under the model. We therefore explain how to use approximate Bayesian computation (ABC) to carry out statistical inference for this model. We suggest a method for model validation based on posterior predictions and global envelopes. We illustrate the ABC procedure and model validation approach using both simulated point patterns and a real data example.
Originalsprog | Engelsk |
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Tidsskrift | Scandinavian Journal of Statistics |
Vol/bind | 49 |
Udgave nummer | 1 |
Sider (fra-til) | 185-210 |
Antal sider | 26 |
ISSN | 0303-6898 |
DOI | |
Status | Udgivet - mar. 2022 |
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review