Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances
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Publication:829714
DOI10.1016/j.csda.2020.107084OpenAlexW3083659119MaRDI QIDQ829714
Publication date: 6 May 2021
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2020.107084
Bayesian networkcausal inferencestructural equation modelmultivariate Gaussian distributiondirected acyclic graphical modelhigh-dimensional learning
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Densely connected sub-Gaussian linear structural equation model learning via \(\ell_1\)- and \(\ell_2\)-regularized regressions ⋮ Unnamed Item ⋮ Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances ⋮ Robust estimation of Gaussian linear structural equation models with equal error variances
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