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math.ST2023
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph -Model
Sagnik Nandy, Bhaswar B. Bhattacharya
The -model for random graphs is commonly used for representing pairwise interactions in a network with degree heterogeneity. Going beyond pairwise interactions, Stasi…
math.ST2023★ 1 cited
Bayes optimal learning in high-dimensional linear regression with network side information
Sagnik Nandy, Subhabrata Sen
Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience. For example, in genetic appli…