no code implementations • 2 Aug 2017 • Piotr Zwiernik
Latent tree models are graphical models defined on trees, in which only a subset of variables is observed.
no code implementations • 29 Dec 2014 • Mathias Drton, Shaowei Lin, Luca Weihs, Piotr Zwiernik
We clarify how in this case real log-canonical thresholds can be computed using polyhedral geometry, and we show how to apply the general theory to the Laplace integrals associated with Gaussian latent tree and forest models.
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.
no code implementations • 10 Feb 2021 • Marta Casanellas, Marina Garrote-López, Piotr Zwiernik
Consider the problem of learning undirected graphical models on trees from corrupted data.
no code implementations • 6 Jun 2023 • Piotr Zwiernik
Another approach considers linear restrictions on the matrix logarithm of the covariance matrix.