We propose a new method for approximate Bayesian statistical inference on the basis of
summary statistics. The method is suited to complex problems that arise in population
genetics, extending ideas developed in this setting by earlier authors. Properties of the
posterior distribution of a parameter, such as its mean or density curve, are approximated
without explicit likelihood calculations. This is achieved by fitting a local-linear regression ...