arXiv stat.ML
· Papers
Horseshoe Priors for Spatial Small Area Estimation: Regular Variation, Tail Robustness, and Deep Learning
arXiv:2606.30659v1 Announce Type: cross Abstract: Small area estimation borrows strength across domains to repair the poor precision of direct survey estimators. Two philosophies dominate the area-level literature. The first, descending from Ghosh and Rao (1994), borrows strength through structured Gaussian smoothing: