Fig. 8.

Convergence of the ABC algorithms over SMC iterations for different distribution-based distance metrics. All algorithms can simulate ${10}^6$ datasets of cardinality $M^{\prime }=50$; however, a and b stalled after performing 82% and 85% of the allowed simulations, respectively. Wasserstein better identifies the branching probability, see Fig. 7d