The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks

Spectral inference on multiple networks is a rapidly-developing subfield of graph statistics. Recent work has demonstrated that joint, or simultaneous, spectral embedding of multiple independent networks can deliver more accurate estimation than individual spectral decompositions of those same netwo...

Descripción completa

Detalles Bibliográficos
Autores principales: Pantazis, Konstantinos, Athreya, Avanti, Arroyo, Jesús, Frost, William N., Hill, Evan S., Lyzinski, Vince
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465120/
https://www.ncbi.nlm.nih.gov/pubmed/37645242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465120/
https://www.ncbi.nlm.nih.gov/pubmed/37645242

Ejemplares similares