On the impact of contaminations in graphical Gaussian models

DOI10.1007/s10260-006-0041-5zbMath1187.62121OpenAlexW2087271975MaRDI QIDQ2655558

Simona Pacillo, Anna Gottard

Publication date: 25 January 2010

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-006-0041-5

zbMATH Keywords

robustnessmultivariate normal distributionconcentration graph modelsgraphical model selectioncontaminantsmodel deviation

Mathematics Subject Classification ID

Related Items (2)

Groups acting on Gaussian graphical models ⋮ Robust concentration graph model selection

Uses Software

• MIM

Cites Work

• A SINful approach to Gaussian graphical model selection
• Distortion in statistical inference: the distinction between data contamination and model deviation
• Statistical Applications of the Multivariate Skew Normal Distribution
• The multivariate skew-normal distribution
• Graphical models for skew‐normal variates
• Introduction to Graphical Modelling
• Rectangular Confidence Regions for the Means of Multivariate Normal Distributions
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