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Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace

The development of models and methodology for the analysis of data from multiple heterogeneous networks is of importance both in statistical network theory and across a wide spectrum of application domains. Although single-graph analysis is well-studied, multiple graph inference is largely unexplore...

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Detalles Bibliográficos
Autores principales: Arroyo, Jesús, Athreya, Avanti, Cape, Joshua, Chen, Guodong, Priebe, Carey E., Vogelstein, Joshua T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513708/
https://www.ncbi.nlm.nih.gov/pubmed/34650343

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