A seeded binary segmentation plus tensor PCA refinement consistently localizes change points in dynamic multilayer random dot product graphs and yields limiting distributions for confidence intervals.
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Change Point Localization and Inference in Dynamic Multilayer Networks
A seeded binary segmentation plus tensor PCA refinement consistently localizes change points in dynamic multilayer random dot product graphs and yields limiting distributions for confidence intervals.