Zach, Erik, and David co-author paper on selection of priors for hierarchical models.

Congratulations to Zachary Brehm, Erik VonKaenel, and David Burton on their preprint entitled, Selection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations.

In this study, they found that the posterior distribution of the standard deviation had smaller bias under half-t priors than under their inverse-gamma counterparts; however, inverse gamma priors generally gave similar coverage but had smaller interval lengths than their half-t prior counterparts. Their results will inform prior specification for hierarchical models, allowing practitioners to better align their priors with their respective models and goals. The full paper is available here: https://arxiv.org/abs/2108.12045

Zachary Brehm
Zachary Brehm
Statistics PhD Student
Erik VonKaenel
Erik VonKaenel
Statistics PhD Student
David S Burton
David S Burton
Statistics PhD Student