Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression

29 Nov 2015Bryon AragamArash A. AminiQing Zhou

We study a family of regularized score-based estimators for learning the structure of a directed acyclic graph (DAG) for a multivariate normal distribution from high-dimensional data with $p\gg n$. Our main results establish support recovery guarantees and deviation bounds for a family of penalized least-squares estimators under concave regularization without assuming prior knowledge of a variable ordering... (read more)

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