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Sharp detection and triangle likelihood limits for quadratic spherical kernel graphs

Lin, Ziqian et al.
arXiv (All) · Papers
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60c05probabilitystatistics-theory
We study whether quadratic spherical geometry can be detected from a single observed graph. Latent positions are independent and uniform on $\mathbb S^{d-1}$; conditional on them, edges are independent with connection probability $K_{d,β}(t)=[1+β(dt^2-1)/(d-1)]/2$, where $0<|β|\le1$. We test this mo
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