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Recently a new algorithm for sampling posteriors of unnormalised probabilitydensities, called ABC Shadow, was proposed in [8]. This talk introduces aglobal optimisation procedure based on the ABC Shadow simulation dynamics.First the general method is explained, and then results on simulated and realdata are presented. The method is rather general, in the sense that it appliesfor probability densities that are continuously differentiable with respect totheir parameters

A simulated annealing procedure based on the ABC Shadow algorithm for statistical inference of point processes