arXiv stat.ML
· Papers
Characterizing and Identifying Separable Graphical Models
arXiv:2607.01057v1 Announce Type: new Abstract: We study a broad class of graphical models whose independencies correspond to vertex separation in mixed graphs with directed, undirected, and bidirected edges, that are capable of encoding independence structures arising from feedback, latent and selection mechanisms. In