Approximated sensitivity analysis in posterior predictive distribution

In Bayesian statistics, a model can be assessed by checking that the model fits the data, which is addressed by using the posterior predictive distribution for a discrepancy, an extension of classical test statistics to allow dependence on unknown (nuisance) parameters. Posterior predictive assessment of model fitness allows more direct a...More