329 citations · 1.2k across the 27 of their papers we have counts for
3 papers · 2 filters
Robust causal structure learning with some hidden variables
Benjamin Frot, Preetam Nandy, Marloes H. Maathuis
We introduce a new method to estimate the Markov equivalence class of a directed acyclic graph (DAG) in the presence of hidden variables, in settings where the underlying DAG among…
Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges
Marco F. Eigenmann, Preetam Nandy, Marloes H. Maathuis
We consider structure learning of linear Gaussian structural equation models with weak edges. Since the presence of weak edges can lead to a loss of edge orientations in the true u…
Causal Structure Learning
Christina Heinze-Deml, Marloes H. Maathuis, Nicolai Meinshausen
Graphical models can represent a multivariate distribution in a convenient and accessible form as a graph. Causal models can be viewed as a special class of graphical models that n…