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Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics
Gaussian graphical models are widely used to represent conditional dependencies among random variables. In this paper, we propose a novel estimator for data arising from a group of Gaussian graphical models that are themselves dependent. A motivating example is that of modelling gene expression coll...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640885/ https://www.ncbi.nlm.nih.gov/pubmed/29038606 http://dx.doi.org/10.1093/biomet/asw035 |