Preprint
Jul 2026
Bayesian Graphical Models under Positivity Constraints: A Scalable generalized likelihood Approach
A novel data augmentation scheme that induces conditional independence among precision matrix entries, enabling joint updates is introduced and a fast matrix-normal sampler is developed that significantly reduces per-iteration complexity in high-dimensional settings.
Swarnali Raha, Partha Sarkar, Sirani M. Perera et al.
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