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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...
Autores principales: | Arroyo, Jesús, Athreya, Avanti, Cape, Joshua, Chen, Guodong, Priebe, Carey E., Vogelstein, Joshua T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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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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