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Detecting Sparse Heterogeneous Mixtures in a Two-Sample Problem

26 November 2020
Rong Huang
ArXiv (abs)PDFHTML
Abstract

We consider the problem of detecting sparse heterogeneous mixtures in a two-sample setting from a nonparametric perspective, where the effect manifests itself as a positive shift. We suggest a two-sample higher criticism test, and show that it is first-order comparable to the likelihood ratio test for the generalized Guassian mixture models in all sparsity regimes.

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