Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
Approximate Bayesian computation (ABC) or likelihood-free inference algorithms are used to find approximations to posterior distributions without making explicit use of the likelihood function, depending instead on simulation of sample data sets from the model. In this paper we show that under the assumption of the existence of a uniform …