Author

Ming-Shuo Liu

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Preprint Sep 2026

Graph-Based Change-Point Detection for Partially Observed High-Dimensional Data

GMiss is introduced, a graph-based framework for testing and localizing a change in the observed-data distribution of a partially observed high-dimensional sequence that is designed for general distributional changes and requires neither sparsity nor Gaussianity.

Ming-Shuo Liu, Hao Chen · 0 citations