Variable Screening Methods in Multi-Category Problems for Ultra-High Dimensional Data
Variable screening techniques are fast and crude techniques to scan high-dimensional data and conduct dimension reduction before a refined variable selection method is applied. Its marginal analysis feature makes the method computationally feasible for ultra-high dimensional problems. However, most...
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| Language: | en_US |
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The University of Arizona.
2017
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| Online Access: | http://hdl.handle.net/10150/624579 http://arizona.openrepository.com/arizona/handle/10150/624579 |