At 5000 samples It should be already damn close to MLE prediction, Indeed now, with an improved distance function the intervals are much tighter, and even now It Is not optimal, ABC methods require a lot of tuning to yield exact bayesian posteriors
@mcreel you can improve the results of ABC via regression adjustement, for now i do not Plan on introducing such methods in KissABC since they are not general purpose, but they can be pretty effective as a post processing procedure on the results of and ABC inference algorithm
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