most citedSelection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

math.CO2022

Spectral Bayesian Network Theory

Luke Duttweiler, Sally W. Thurston, Anthony Almudevar

A Bayesian Network (BN) is a probabilistic model that represents a set of variables using a directed acyclic graph (DAG). Current algorithms for learning BN structures from data fo…

stat.ME2021★ 2 cited

Selection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations

Zachary Brehm, Aaron Wagner, Erik VonKaenel +5

While the importance of prior selection is well understood, establishing guidelines for selecting priors in hierarchical models has remained an active, and sometimes contentious, a…