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Showing 1 to 1 of 1 for “"Low-rank inference"”.

  1. Statistical inference in high-dimensional matrix models

    … model with complexity measured by the effective rank, the reciprocal of the percentage of variance explained by the first principal component. We investigate estimation of linear functionals of eigenvectors and prove Berry-Essen type bounds. Due to the high-dimensionality of the problem we …

    cambridge Repository record for Statistical inference in high-dimensional matrix models (opens in a new tab)