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View full-text article in PMC

. Author manuscript; available in PMC: 2021 Oct 13.

Published in final edited form as: J Mach Learn Res. 2021 Mar;22(141):1–49.

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License: CC-BY 4.0, see https://creativecommons.org/licenses/by/4.0/. Attribution requirements are provided at http://jmlr.org/papers/v22/19-558.html.

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Figure 3: — The top panel shows the distribution of the difference between the MASE estimates and true eigenvalues of a single graph. The graphs in the sample are distributed according to a two-block multilayer SBM, block connection probability matrix B⁽ⁱ⁾ = 0.3I + 0.111^⊤, and a fixed sample size m = 3 but different number of vertices n. The estimation bias remains positive even with a large graph size (bottom panel), and for any fixed n the mean of the distributions (red solid line) is away from zero (blue dashed line), but the distributions appear to be Gaussian.