Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure

We introduce Bayesian Gaussian graphical models with covariates (GGMx), a class of multivariate Gaussian distributions with covariate-dependent sparse precision matrix. We propose a general construction of a functional mapping from the covariate space to the cone of sparse positive definite matrices...

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Detalles Bibliográficos
Autores principales: Ni, Yang, Stingo, Francesco C., Baladandayuthapani, Veerabhadran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552903/
https://www.ncbi.nlm.nih.gov/pubmed/37799290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552903/
https://www.ncbi.nlm.nih.gov/pubmed/37799290

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