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- W2344435954 abstract "We consider the problem of detecting the presence of a submatrix with larger-than-usual values in a large data matrix. This problem was considered in (Butucea and Ingster, 2013) under a one-parameter exponential family, and one of the test they analyzed is the scan test. Taking a nonparametric stance, we show that a calibration by permutation leads to the same (first-order) asymptotic performance. This is true for the two types of permutations we consider. We also study the corresponding rank-based variants and precisely quantify the loss in asymptotic power." @default.
- W2344435954 created "2016-06-24" @default.
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- W2344435954 date "2016-04-25" @default.
- W2344435954 modified "2023-09-23" @default.
- W2344435954 title "Distribution-free Detection of a Submatrix" @default.
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- W2344435954 doi "https://doi.org/10.48550/arxiv.1604.07449" @default.
- W2344435954 hasPublicationYear "2016" @default.
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