Exploration of the search space of Gaussian graphical models for paired data

arXiv:2303.05561v2 Announce Type: replace-cross
Abstract: We consider the problem of learning a Gaussian graphical model in the case where the observations come from two dependent groups sharing the same variables. We focus on a family of coloured Gaussian graphical models specifically suited for the paired data problem. Commonly, graphical models are ordered by the submodel relationship so that the search space is a lattice, called the model inclusion lattice. We introduce a novel order between models, named the twin order. …

abstract arxiv case cs.lg data exploration family focus q-bio.nc search space stat.me stat.ml type variables