2.4.11 | Comparing the accuracy of posterior parameters estimations using NN, RF, or Rejection ABC
We compared four ABC posterior parameter estimation methods: NN-ABC estimation of the parameters taken jointly as a vector (similarly as in the above procedures), NN-ABC estimation of the parameters taken in turn separately, RF-ABC estimation of the parameters which also considers parameters in turn and separately (Raynal et al., 2019), and simple Rejection ABC estimation for each parameter separately (Pritchard et al., 1999). For each method, we used in turn the 1,000 simulations closest to the real data as pseudo-observed data and the 99,999 remaining simulations as reference table. We consider the same parameters for the NN, and we 500 decision trees for the RF to limit the computational cost at little accuracy cost a priori (Supplementary Figure S3 ). We computed the three types of errors and the accuracies of the 95% CI for each ABC method similarly as previously (Table 4 ).