dimension selection 1network embedding 1random matrix theory 1spectral graph theory 1stochastic block models 1
From the 1 of 3 linked papers with an AI index.
3 papers
math.ST2026
Network Signflip Parallel Analysis for Selecting the Embedding Dimension
David Hong, Joshua Cape
The paper proposes a data‑driven spectral technique called NetFlipPA that determines how many dimensions to keep when embedding large heterogeneous networks by comparing eigenvalue…
math.ST2025
Extreme value theory for singular subspace estimation in the matrix denoising model
Junhyung Chang, Joshua Cape
This paper studies fine-grained singular subspace estimation in the matrix denoising model where a deterministic low-rank signal matrix is additively perturbed by a stochastic matr…
stat.ME2025
Simultaneous estimation of connectivity and dimensionality in samples of networks
Wenlong Jiang, Chris McKennan, Jesús Arroyo +1
An overarching objective in contemporary statistical network analysis is extracting salient information from datasets consisting of multiple networks. To date, considerable attenti…