Statistics Seminar

Abstract: Box advocated prior predictive checks as a natural way for Bayesians to assess a model.  These checks perform well for well-specified models but perform poorly when the Bayesian model makes use of a weakly informative prior distribution.  Partial posterior predictive checks (Bayarri and Berger) reduce the impact of the prior distribution while allowing us to create