ean and posterior median are two different Bayesian estimators. The bootstrap may be used estimate standard errors and confidence intervals, just as for any other estimator.</p>
<p><span class="citation" data-cites="HugginsMiller:2019">(<a href="#ref-HugginsMiller:2019" role="doc-biblioref">Huggins and Miller 2019</a>)</span> use the bootstrap to assess model calibration and fitting in a Bayesian framework and further suggest using bagged estimators as a guard against model misspecification. Bagged posterio