Tests for Gaussian graphical models

DOI10.1016/j.csda.2008.09.022zbMath1453.62229OpenAlexW4298381761MaRDI QIDQ961382

Nicolas Verzelen, Fanny Villers

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://hal.inrae.fr/hal-02659725/file/30682_20090825030525656_1.pdf

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic graphical models (62H22)

Related Items (8)

A kriging procedure for processes indexed by graphs ⋮ Goodness-of-fit tests for high-dimensional Gaussian linear models ⋮ Estimation of Gaussian graphs by model selection ⋮ Robust concentration graph model selection ⋮ Parametric estimation for Gaussian fields indexed by graphs ⋮ Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide ⋮ A global homogeneity test for high-dimensional linear regression ⋮ High-dimensional Gaussian model selection on a Gaussian design

Uses Software

• MIM

Cites Work

• Unnamed Item
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• Multiple testing and error control in Gaussian graphical model selection
• Least angle regression. (With discussion)
• Goodness-of-fit tests for high-dimensional Gaussian linear models
• A SINful approach to Gaussian graphical model selection
• High-dimensional graphs and variable selection with the Lasso
• Model selection and estimation in the Gaussian graphical model
• Introduction to Graphical Modelling
• Low-Order Conditional Independence Graphs for Inferring Genetic Networks
• Covariance matrix selection and estimation via penalised normal likelihood

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