Simulation-based inference, likelihood-free inference, and approximate Bayesian Computation are all terrible descriptions. There are many ways that inference can be based upon simulations, many types of freedom from likelihood and many ways to approximate Bayesian computation. However, all these terms together refer to a particular thing.
TBD: relationship between this and indirect inference. They look very similar but tend not to cite each other. Is this a technical or sociological difference?
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