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Publication - Professor Mark Beaumont

    Approximate Bayesian computation


    Beaumont, MA, 2019, ‘Approximate Bayesian computation’. Annual Review of Statistics and Its Application, vol 6., pp. 379-403


    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.

    Full details in the University publications repository