Constrained likelihood for reconstructing a directed acyclic Gaussian graph

DOI10.1093/biomet/asy057zbMath1506.62298OpenAlexW2904730083WikidataQ91871293 ScholiaQ91871293MaRDI QIDQ5742757

Xiaotong Shen, Wei Pan, Zizhuo Wang, Yiping Yuan

Publication date: 8 May 2019

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/asy057

zbMATH Keywords

acyclicitynonconvex minimizationconstraint reductiondirectional relation

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric inference under constraints (62F30) Probabilistic graphical models (62H22)

Related Items (7)

Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances ⋮ Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers ⋮ Testing Mediation Effects Using Logic of Boolean Matrices ⋮ Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances ⋮ Likelihood Ratio Tests for a Large Directed Acyclic Graph ⋮ Reconstruction of a directed acyclic graph with intervention ⋮ Unnamed Item

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