On causal discovery with an equal-variance assumption

Causal Structure Learning

(2018) Christina Heinze-Deml et al.   Annual Review of Statistics and Its Application

Structure Learning in Graphical Modeling

(2017) Mathias Drton et al.   Annual Review of Statistics and Its Application

Identifiability of Gaussian structural equation models with equal error variances

(2013) J. Peters et al.   BIOMETRIKA

A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation

(2011) Tony Cai et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence

(2011) Pradeep Ravikumar et al.   Electronic Journal of Statistics

Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs

(2010) A. Shojaie et al.   BIOMETRIKA

Extended Bayesian information criteria for model selection with large model spaces

(2008) J. Chen et al.   BIOMETRIKA