  F-ABC is introduced, using universal sufficient statistics, unlike previous
ABC papers, e.g. Bernton et al. (2019), and avoiding in the approximate
posterior artifacts due to a Kernel. The nature of matching tolerance is
examined and indications for determining its values are presented. F-ABC does
not face concerns associated with ABC. Asymptotics and simulation results are
also presented.
