Open Access
2019 Detection of sparse mixtures: higher criticism and scan statistic
Ery Arias-Castro, Andrew Ying
Electron. J. Statist. 13(1): 208-230 (2019). DOI: 10.1214/18-EJS1512

Abstract

We consider the problem of detecting a sparse mixture as studied by Ingster (1997) and Donoho and Jin (2004). We consider a wide array of base distributions. In particular, we study the situation when the base distribution has polynomial tails, a situation that has not received much attention in the literature. Perhaps surprisingly, we find that in the context of such a power-law distribution, the higher criticism does not achieve the detection boundary. However, the scan statistic does.

Citation

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Ery Arias-Castro. Andrew Ying. "Detection of sparse mixtures: higher criticism and scan statistic." Electron. J. Statist. 13 (1) 208 - 230, 2019. https://doi.org/10.1214/18-EJS1512

Information

Received: 1 February 2018; Published: 2019
First available in Project Euclid: 16 January 2019

zbMATH: 1411.62161
MathSciNet: MR3899951
Digital Object Identifier: 10.1214/18-EJS1512

Keywords: contamination model , higher criticism , normal means model , rare effects , scan statistic , Sparse mixtures

Vol.13 • No. 1 • 2019
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