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Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
Abstract 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 …