Approximate Bayesian computation: Difference between revisions

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ABC methods bypass the evaluation of the likelihood function. In this way, ABC methods widen the realm of models for which statistical inference can be considered. ABC methods are mathematically well-founded, but they inevitably make assumptions and approximations whose impact needs to be carefully assessed. Furthermore, the wider application ___domain of ABC exacerbates the challenges of [[Estimation Theory|parameter estimation]] and [[model selection]].
 
ABC has rapidly gained popularity over the last years and in particular for the analysis of complex problems arising in [[Biology|biological sciences]], e.g. in [[population genetics]], [[ecology]], [[epidemiology]], [[systems biology]], and in [[radio propagation]].<ref name="Bharti" />.
 
==History==