86 citations · 156 across the 2 of their papers we have counts for
4 papers
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…
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs
Alain Hauser, Peter Bühlmann
In many applications we have both observational and (randomized) interventional data. We propose a Gaussian likelihood framework for joint modeling of such different data-types, ba…
Two Optimal Strategies for Active Learning of Causal Models from Interventional Data
Alain Hauser, Peter Bühlmann
From observational data alone, a causal DAG is only identifiable up to Markov equivalence. Interventional data generally improves identifiability; however, the gain of an intervent…
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser, Peter Bühlmann
The investigation of directed acyclic graphs (DAGs) encoding the same Markov property, that is the same conditional independence relations of multivariate observational distributio…