Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold

Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold

Network analysis provides a rich framework to model complex phenomena, such as human brain connectivity. It has proven efficient to understand their natural properties and design predictive models. In this paper, we study the variability within groups of networks, i.e., the structure of connection s...

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Bibliographic Details
Main Authors: Clément Mantoux, Baptiste Couvy-Duchesne, Federica Cacciamani, Stéphane Epelbaum, Stanley Durrleman, Stéphanie Allassonnière
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Entropy
Subjects:
network modeling
network variability
Stiefel manifold
MCMC-SAEM
data imputation
Online Access:https://www.mdpi.com/1099-4300/23/4/490

Internet

https://www.mdpi.com/1099-4300/23/4/490

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