“Approximate Bayesian Computation [Review]”, 2019 ():
Many of the statistical models that could provide an accurate, interesting, and testable explanation for the structure of a data set turn out to have intractable likelihood functions.
The method of approximate Bayesian computation (ABC) has become a popular approach for tackling such models.
This review gives an overview of the method and the main issues and challenges that are the subject of current research.