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