Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1151533 | Statistics & Probability Letters | 2016 | 13 Pages |
Abstract
In this paper we propose a classifier for the high dimensional Gaussian copula model. Besides, a Rotate-and-Solve procedure is proposed to tackle with the non-sparse case. Both theoretical analysis and simulation study show that the classifier performs better than some state-of-the-art methods.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Yong He, Xinsheng Zhang, Pingping Wang,