bayesian inference 1gaussian graphical models 1high-dimensional inference 1precision matrix estimation 1total positivity 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ME2026
Bayesian Graphical Models under Positivity Constraints: A Scalable generalized likelihood Approach
Swarnali Raha, Partha Sarkar, Sirani Perera +1
The paper proposes a scalable Bayesian method for estimating precision matrices in Gaussian graphical models with total positivity constraints, using a D‑trace loss and spike‑and‑s…
math.ST2026
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
Partha Sarkar, Kshitij Khare, Malay Ghosh +1
This paper aims to examine the characteristics of the posterior distribution of covariance/precision matrices in a "large , large " scenario, where represents the number…