Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans
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Publication:4962445
DOI10.1080/01621459.2017.1286240zbMath1398.62105arXiv1508.03002OpenAlexW2964231654MaRDI QIDQ4962445
Ervin Tánczos, Rui M. Castro, Ery Arias-Castro, Meng Wang
Publication date: 2 November 2018
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1508.03002
Related Items (10)
NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks ⋮ Distribution-free detection of a submatrix ⋮ Identifying the support of rectangular signals in Gaussian noise ⋮ Detecting structured signals in Ising models ⋮ Multidimensional multiscale scanning in exponential families: limit theory and statistical consequences ⋮ Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach ⋮ Bootstrap confidence intervals for multiple change points based on moving sum procedures ⋮ Distribution-Free, Size Adaptive Submatrix Detection with Acceleration ⋮ Anomaly detection: a functional analysis perspective ⋮ Template matching with ranks
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