Approximate Bayesian Computation (ABC) is a likelihood‐free inference methodology that has revolutionised the way researchers tackle complex problems where the likelihood function is difficult or ...

ABC (approximate Bayesian computation) is a general approach for dealing with models with an intractable likelihood. In this work, we derive ABC algorithms based on QMC (quasi-Monte Carlo) sequences.

Sedki, M., Pudlo, P. Efficient learning in Approximate Bayesian Computation. Nat Prec (2011). https://doi.org/10.1038/npre.2011.5962.1 ...