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Sensitivity Analysis for Bayesian Hierarchical Models
2015
Bayesian Analysis
Prior sensitivity examination plays an important role in applied Bayesian analyses. This is especially true for Bayesian hierarchical models, where interpretability of the parameters within deeper layers in the hierarchy becomes challenging. In addition, lack of information together with identifiability issues may imply that the prior distributions for such models have an undesired influence on the posterior inference. Despite its importance, informal approaches to prior sensitivity analysis
doi:10.1214/14-ba909
fatcat:ehqjos24lng5zagruiengqrcra