Figure 4 : Neural-Network Approximate Bayesian Computation posterior parameters estimated densities under the winning scenario AfrDE-EurDE, for (A) the ACB and (B) the ASW populations. Median posterior point estimates are indicated by the red vertical line, 95% credibility intervals are indicated by the colored area under the posterior curve (Table 2 ). All posterior parameter estimations were conducted using 100,000 simulations under scenario AfrDE-EurDE, a 1% tolerance rate (1,000 simulations), 24 summary statistics, logit transformation of all parameters, and four neurons in the hidden layer (see Materials and Methods ). For all parameters separately, densities are plotted with 1,000 points, a Gaussian kernel, and are constrained to the prior limits. Posterior parameter densities are indicated by a solid line; prior parameter densities are indicated by black dotted lines.