  This document is an invited chapter covering the specificities of ABC model
choice, intended for the incoming Handbook of ABC by Sisson, Fan, and Beaumont
(2017). Beyond exposing the potential pitfalls of ABC based posterior
probabilities, the review emphasizes mostly the solution proposed by Pudlo et
al. (2016) on the use of random forests for aggregating summary statistics and
and for estimating the posterior probability of the most likely model via a
secondary random fores.
