A simulated annealing procedure based on the ABC Shadow algorithm for statistical inference of point processes
Computation
2018-03-20 v1 Statistics Theory
Statistics Theory
Abstract
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
Cite
@article{arxiv.1803.06505,
title = {A simulated annealing procedure based on the ABC Shadow algorithm for statistical inference of point processes},
author = {R. S. Stoica and M. Deaconu and L. Hurtado},
journal= {arXiv preprint arXiv:1803.06505},
year = {2018}
}