Inference of Multiple High-Dimensional Networks with the Graphical Horseshoe Prior
<p>We develop a novel full-Bayesian approach for multiple correlated precision matrices, called multiple Graphical Horseshoe (mGHS). The proposed approach relies on a novel multivariate shrinkage prior based on the Horseshoe prior that borrows strength and shares sparsity patterns across group...
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2025
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