329 citations · 329 across the 1 of their papers we have counts for
2 papers
stat.ME2008★ 329 cited
Estimating high-dimensional intervention effects from observational data
Marloes H. Maathuis, Markus Kalisch, Peter Bühlmann
We assume that we have observational data generated from an unknown underlying directed acyclic graph (DAG) model. A DAG is typically not identifiable from observational data, but…
math.ST2005
Estimating high-dimensional directed acyclic graphs with the PC-algorithm
Markus Kalisch, Peter Buehlmann
We consider the PC-algorithm Spirtes et. al. (2000) for estimating the skeleton of a very high-dimensional acyclic directed graph (DAG) with corresponding Gaussian distribution. Th…