Showing stat.MEShow all
2 papers · 1 filter
stat.ME2025
Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood
Reza Mohammadi, Marit Schoonhoven, Lucas Vogels +1
Bayesian methods for learning Gaussian graphical models offer a principled framework for quantifying model uncertainty and incorporating prior knowledge. However, their scalability…
stat.ME2024
Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison
Lucas Vogels, Reza Mohammadi, Marit Schoonhoven +1
Gaussian graphical models provide a powerful framework to reveal the conditional dependency structure between multivariate variables. The process of uncovering the conditional depe…