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stat.ME2020
MCMC computations for Bayesian mixture models using repulsive point processes
Mario Beraha, Raffaele Argiento, Jesper Møller +1
Repulsive mixture models have recently gained popularity for Bayesian cluster detection. Compared to more traditional mixture models, repulsive mixture models produce a smaller num…
stat.ME2020
Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
Ninna Vihrs, Jesper Møller, Alan E. Gelfand
In this paper, we propose a doubly stochastic spatial point process model with both aggregation and repulsion. This model combines the ideas behind Strauss processes and log Gaussi…