257 citations · 1k across the 41 of their papers we have counts for
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stat.ME2011★ 38 cited
Marginal log-linear parameters for graphical Markov models
Robin J. Evans, Thomas S. Richardson
Marginal log-linear (MLL) models provide a flexible approach to multivariate discrete data. MLL parametrizations under linear constraints induce a wide variety of models, including…
stat.ME2011★ 257 cited
Learning high-dimensional directed acyclic graphs with latent and selection variables
Diego Colombo, Marloes H. Maathuis, Markus Kalisch +1
We consider the problem of learning causal information between random variables in directed acyclic graphs (DAGs) when allowing arbitrarily many latent and selection variables. The…