Direction-Projection-Permutation for High-Dimensional Hypothesis Tests
نویسندگان
چکیده
منابع مشابه
Direction-Projection-Permutation for High Dimensional Hypothesis Tests
High dimensional low sample size (HDLSS) data are becoming increasingly common in statistical applications. When the data can be partitioned into two classes, a basic task is to construct a classifier which can assign objects to the correct class. Binary linear classifiers have been shown to be especially useful in HDLSS settings and preferable to more complicated classifiers because of their e...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2016
ISSN: 1061-8600,1537-2715
DOI: 10.1080/10618600.2015.1027773