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stat.ME2026
Bayesian Graphical Models under Positivity Constraints: A Scalable Generalized Likelihood Approach
Swarnali Raha, Partha Sarkar, Sirani M. Perera +2
We develop a computationally scalable Bayesian framework for precision matrix estimation in Gaussian graphical models under total positivity constraints. To overcome the high compu…
stat.ME2026
CoMET: A Compressed Bayesian Mixed-Effects Model for High-Dimensional Tensors
Sreya Sarkar, Kshitij Khare, Sanvesh Srivastava
Mixed-effects models are fundamental tools for analyzing clustered and repeated-measures data, but existing high-dimensional methods largely focus on penalized estimation with vect…