Robust concentration graph model selection

DOI10.1016/j.csda.2008.11.021zbMath1284.62199OpenAlexW1964581441MaRDI QIDQ2445761

Anna Gottard, Simona Pacillo

Publication date: 14 April 2014

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

Full work available at URL: https://doi.org/10.1016/j.csda.2008.11.021

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (6)

Robust methods for inferring sparse network structures ⋮ Robust estimation of precision matrices under cellwise contamination ⋮ Groups acting on Gaussian graphical models ⋮ Special issue on variable selection and robust procedures ⋮ Graphical lassos for meta‐elliptical distributions ⋮ Dynamic and robust Bayesian graphical models

Uses Software

• MIM

Cites Work

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• Multiple testing and error control in Gaussian graphical model selection
• Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
• Small sample corrections for LTS and MCD
• A robust Hotelling test
• On the relation between S-estimators and M-estimators of multivariate location and covariance
• Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
• Tests for Gaussian graphical models
• Building a robust linear model with forward selection and stepwise procedures
• Outlier identification in high dimensions
• Robust model selection using fast and robust bootstrap
• Asymptotic behaviour of S-estimates of multivariate location parameters and dispersion matrices
• Robust m-estimators of multivariate location and scatter
• Asymptotics for the minimum covariance determinant estimator
• Multiple hypothesis testing in microarray experiments.
• Asymptotics of reweighted estimators of multivariate location and scatter
• Linear dependencies represented by chain graphs. With comments and a rejoinder by the authors
• Constrained \(M\)-estimation for multivariate location and scatter
• On the uniqueness of \(S\)-functionals and \(M\)-functionals under nonelliptical distributions.
• Robust factor analysis.
• Influence function and efficiency of the minimum covariance determinant scatter matrix estimator
• A SINful approach to Gaussian graphical model selection
• The multivariate least-trimmed squares estimator
• On the impact of contaminations in graphical Gaussian models
• Model selection for Gaussian concentration graphs
• Multivariate τ-Estimators for Location and Scatter
• Introduction to Graphical Modelling
• Principal component analysis based on robust estimators of the covariance or correlation matrix: influence functions and efficiencies
• Rectangular Confidence Regions for the Means of Multivariate Normal Distributions
• Outlier Robust Model Selection in Linear Regression

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