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We propose a high-dimensional classification method that involves nonparametric feature augmentation. Knowing that marginal density ratios are the most powerful univariate classifiers, we use the ...
Robustness and accuracy of methods for high dimensional data analysis based on Student's t-statistic
Student's t-statistic is finding applications today that were never envisaged when it was introduced more than a century ago. Many of these applications rely on properties, e. g. robustness against ...
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