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Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph $\boldsymbolβ$-Model
To begin with, we derive the rates of convergence of the maximum likelihood (ML) estimate and establish their minimax rate optimality.
Bayes optimal learning in high-dimensional linear regression with network side information
Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience.
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