Author

Hoseung Song

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Preprint Sep 2026

Multiple change-point detection via bottom-up scanning

We study nonparametric multiple change-point detection for high-dimensional sequences, aiming to identify time points at which the underlying distribution changes. While many existing methods perform well when change-points are well-separated, their performance can deteriorate when structural breaks are densely cluster...

Jinhyeok Park, Hyeyoung Maeng, Ho-Seung Song · 0 citations

Open access Aug 2026

Constructing microbiome co-occurrence networks with confidence: A conditional, nonparametric, inference-based approach

A conditional, nonparametric approach based on the scaled expected conditional covariance (SEcov), which allows investigators to construct microbiome networks using statistically interpretable evidence for taxon-pair associations, rather than relying solely on arbitrary correlation cutoffs or regularization tuning para...

Ho-Seung Song, Yunhua Xiang, Hongjiao Liu et al. · bioRxiv · 0 citations