Figure 6.
Comparison of the efficiency of Algorithms 1 and 2. Smaller KL divergence means more accurate inference of the posterior distribution. Note that the stopping criterion of the algorithm has here been changed to be the total number of runs of the simulator instead of the number of accepted samples. a) Results after 100,000 simulations. b) Accuracy versus computational cost.