About this document
Bayesian Hierarchical Model Sensitivity by quayoho is a document available to read on EtoBox.
The document discusses a novel formal approach to prior sensitivity analysis in Bayesian hierarchical models, addressing the challenges of parameter interpretability and the influence of prior distributions on posterior inference. It introduces the priorSens package in R, which allows for efficient sensitivity assessment without the need for model re-runs, thus facilitating routine investigations of prior robustness. The paper emphasizes the importance of understanding sensitivity to prior specifications to
- Author
- quayoho
- Language
- EN