Learning partial correlation graphs and graphical models by covariance queries

no code implementations • 22 Jun 2019 • Gábor Lugosi, Jakub Truszkowski, Vasiliki Velona, Piotr Zwiernik

We study the problem of recovering the structure underlying large Gaussian graphical models or, more generally, partial correlation graphs.