Intuitive joint priors for variance parameters

Geir-Arne Fuglstad, Ingeborg Gullikstad Hem, Alexander Knight +2

Variance parameters in additive models are typically assigned independent priors that do not account for model structure. We present a new framework for prior selection based on a…