714 citations · 1k across the 30 of their papers we have counts for
5 papers · 1 filter
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence
Mathias Drton, Thomas S. Richardson
Graphical models with bi-directed edges (<->) represent marginal independence: the absence of an edge between two vertices indicates that the corresponding variables are marginally…
Correction on Moments of minors of Wishart matrices
Mathias Drton, Aldo Goia
Correction on Moments of minors of Wishart matrices by M. Drton and A. Goia (Ann. Statist. 36 (2008) 2261-2283), arXiv:math/0604488
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Mathias Drton, Thomas S. Richardson
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property t…
Robust Bayesian inference of networks using Dirichlet t-distributions
Michael Finegold, Mathias Drton
Bayesian graphical modeling provides an appealing way to obtain uncertainty estimates when inferring network structures, and much recent progress has been made for Gaussian models.…
PC algorithm for Gaussian copula graphical models
Naftali Harris, Mathias Drton
The PC algorithm uses conditional independence tests for model selection in graphical modeling with acyclic directed graphs. In Gaussian models, tests of conditional independence a…