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Tests atternative to higher criticism for high dimensional means under sparsity and column-wise dependence
Large deviation Large p, small n Optimal detection boundary Sparse signal Thresholding Weak dependence
2016/1/20
We consider two alternative tests to the Higher Criticism test of Donoho and Jin (2004) for high dimensional means under the spar-sity of the non-zero means for sub-Gaussian distributed data with unkn...
Innovated Higher Criticism for detecting sparse signals in correlated noise
Adding noise Cholesky factorization empirical process innovation multiplehypothesis testing sparse normal means
2010/3/18
Higher Criticism is a method for detecting signals that are both sparse and weak. Although
first proposed in cases where the noise variables are independent, Higher Criticism
also has reasonable per...