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Joint Independence Testing for Latent Position Random Graphs

arXiv:2610.34544v1 Announce Type: new Abstract: Kernel techniques are among the most powerful methods in data science and statistics. One of the key properties of kernels contributing to their numerous successful applications is that the associated reproducing kernel Hilbert space is expressive eno…

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  1. 2026-10-27 04:00 · arXiv stat.ML
    Joint Independence Testing for Latent Position Random Graphs

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