116 citations · 157 across the 17 of their papers we have counts for
3 papers · 1 filter
On generating random Gaussian graphical models
Irene Córdoba, Gherardo Varando, Concha Bielza +1
Structure learning methods for covariance and concentration graphs are often validated on synthetic models, usually obtained by randomly generating: (i) an undirected graph, and (i…
A partial orthogonalization method for simulating covariance and concentration graph matrices
Irene Córdoba, Gherardo Varando, Concha Bielza +1
Structure learning methods for covariance and concentration graphs are often validated on synthetic models, usually obtained by randomly generating: (i) an undirected graph, and (i…
A review of Gaussian Markov models for conditional independence
Irene Córdoba, Concha Bielza, Pedro Larrañaga
Markov models lie at the interface between statistical independence in a probability distribution and graph separation properties. We review model selection and estimation in direc…