Inferring multiple graphical structures

DOI10.1007/s11222-010-9191-2zbMath1221.62085arXiv0912.4434OpenAlexW1989493069MaRDI QIDQ637986

Yves Grandvalet, Julien Chiquet, Christophe Ambroise

Publication date: 8 September 2011

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0912.4434

zbMATH Keywords

Gaussian graphical modelnetwork inferencecooperative-LASSOintertwined-LASSOmultiple sample setup

Mathematics Subject Classification ID

Related Items (13)

Structured regularization for conditional Gaussian graphical models ⋮ Promote sign consistency in the joint estimation of precision matrices ⋮ Estimating Multiple Precision Matrices With Cluster Fusion Regularization ⋮ A fast iterative algorithm for high-dimensional differential network ⋮ Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control ⋮ Compressed spectral screening for large-scale differential correlation analysis with application in selecting glioblastoma gene modules ⋮ A constrained \(\ell1\) minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models ⋮ Sparsity with sign-coherent groups of variables via the cooperative-Lasso ⋮ Bayesian graphical models for differential pathways ⋮ A global homogeneity test for high-dimensional linear regression ⋮ Integrative sparse principal component analysis ⋮ Efficient computation for differential network analysis with applications to quadratic discriminant analysis ⋮ SIMoNe

Uses Software

• R
• glasso

Cites Work

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