Before revision:  This provides a rationale for reporting these estimators in applications. We introduce a measure of informativeness of the posterior conditioning, which quantifies the bias of PAE relative to parametric model-based estimators , and we study other robustness properties of PAE for estimation and prediction .
After revision:  In addition, we introduce a measure of informativeness of the posterior conditioning, which quantifies the bias of PAE relative to parametric model-based estimators , and we study other robustness properties of PAE for estimation and prediction .