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09/29/2022
Automatic sparse PCA for high-dimensional data
Sparse principal component analysis (SPCA) methods have proven to effici...
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03/09/2022
High Dimensional Statistical Analysis and its Application to ALMA Map of NGC 253
In astronomy, if we denote the dimension of data as d and the number of ...
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10/30/2017
Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models
We consider classifiers for high-dimensional data under the strongly spi...
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02/26/2017
Support vector machine and its bias correction in high-dimension, low-sample-size settings
In this paper, we consider asymptotic properties of the support vector m...
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03/16/2015