Preprint
Aug 2026
Graph-dependent shrinkage priors for Bayesian trend filtering
This work proposes a comprehensive Bayesian framework for graph-dependent shrinkage priors and applies its methods for spatio-temporal modeling and forecasting of local area unemployment data for every county in the continental U.S. during the 2020 COVID-19 unemployment shock.
A. Mascaretti, Daniel R. Kowal
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