Iterative Reconstruction of High-Dimensional Gaussian Graphical Models Based on a New Method to Estimate Partial Correlations under Constraints

In the context of Gaussian Graphical Models (GGMs) with high-dimensional small sample data, we present a simple procedure, called PACOSE – standing for PArtial COrrelation SElection – to estimate partial correlations under the constraint that some of them are strictly zero. This method can also be e...

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Detalles Bibliográficos
Autores principales: Guillemot, Vincent, Bender, Andreas, Boulesteix, Anne-Laure
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3623825/
https://www.ncbi.nlm.nih.gov/pubmed/23593235
http://dx.doi.org/10.1371/journal.pone.0060536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3623825/
https://www.ncbi.nlm.nih.gov/pubmed/23593235
http://dx.doi.org/10.1371/journal.pone.0060536

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