A new U-statistic based test, combined with a sparse singular value decomposition estimator, is proposed for testing whether a high-dimensional matrix mean has rank at most K.
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Hypothesis Testing for High-Dimensional Matrix-Valued Data
A new U-statistic based test, combined with a sparse singular value decomposition estimator, is proposed for testing whether a high-dimensional matrix mean has rank at most K.