329 citations · 1.2k across the 27 of their papers we have counts for
4 papers · 1 filter
Distributional Equivalence and Structure Learning for Bow-free Acyclic Path Diagrams
Christopher Nowzohour, Marloes H. Maathuis, Robin J. Evans +1
We consider the problem of structure learning for bow-free acyclic path diagrams (BAPs). BAPs can be viewed as a generalization of linear Gaussian DAG models that allow for certain…
A Complete Generalized Adjustment Criterion
Emilija Perković, Johannes Textor, Markus Kalisch +1
Covariate adjustment is a widely used approach to estimate total causal effects from observational data. Several graphical criteria have been developed in recent years to identify…
High-dimensional consistency in score-based and hybrid structure learning
Preetam Nandy, Alain Hauser, Marloes H. Maathuis
Main approaches for learning Bayesian networks can be classified as constraint-based, score-based or hybrid methods. Although high-dimensional consistency results are available for…
A review of some recent advances in causal inference
Marloes H. Maathuis, Preetam Nandy
We give a selective review of some recent developments in causal inference, intended for researchers who are not familiar with graphical models and causality, and with a focus on m…