most citedAsymptotic Properties of the Misclassification Errors for Euclidean Distance Discriminant Rule in High-Dimensional Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

math.ST2014

A one-sample location test based on weighted averaging of two test statistics in high-dimensional data

Masashi Hyodo, Takahiro Nishiyama

We discuss a one-sample location test that can be used in the case of high-dimensional data. For high-dimensional data, the power of Hotelling's test decrises when the dimension is…

math.ST2014★ 1 cited

Asymptotic Properties of the Misclassification Errors for Euclidean Distance Discriminant Rule in High-Dimensional Data

H. Watanabe, M. Hyodo, T. Seo +1

Performance accuracy of the Euclidean Distance Discriminant rule (EDDR) is studied in the high-dimensional asymptotic framework which allows the dimensionality to exceed sample siz…