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Bibliographic Details
Main Author: Aldridge, Matthew
Format: Preprint
Published: 2018
Subjects:
Online Access:https://arxiv.org/abs/1801.08590
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author Aldridge, Matthew
author_facet Aldridge, Matthew
contents We consider nonadaptive probabilistic group testing in the linear regime, where each of n items is defective independently with probability p in (0,1), and p is a constant independent of n. We show that testing each item individually is optimal, in the sense that with fewer than n tests the error probability is bounded away from zero.
format Preprint
id arxiv_https___arxiv_org_abs_1801_08590
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Individual testing is optimal for nonadaptive group testing in the linear regime
Aldridge, Matthew
Information Theory
Combinatorics
Probability
We consider nonadaptive probabilistic group testing in the linear regime, where each of n items is defective independently with probability p in (0,1), and p is a constant independent of n. We show that testing each item individually is optimal, in the sense that with fewer than n tests the error probability is bounded away from zero.
title Individual testing is optimal for nonadaptive group testing in the linear regime
topic Information Theory
Combinatorics
Probability
url https://arxiv.org/abs/1801.08590