Title
Probabilistic Group Testing With A Linear Number Of Tests
Abstract
In probabilistic nonadaptive group testing (PGT), we aim to characterize the number of pooled tests necessary to identify a random k-sparse vector of defectives with high probability. Recent work has shown that n tests are necessary when k = w (n/ log n). It is also known that O (k log n) tests are necessary and sufficient in other regimes. This leaves open the important sparsity regime where the probability of a defective item is similar to 1/ log n (or k = Theta(n/ log n)) where the number of tests required is linear in n. In this work we aim to exactly characterize the number of tests in this sparsity regime. In particular, we seek to determine the number of defectives lambda(alpha)n/ log n that can be identified if the number of tests is alpha n. In the process, we give upper and lower bounds on the exact point at which individual testing becomes suboptimal, and the use of a carefully constructed pooled test design is beneficial.
Year
DOI
Venue
2021
10.1109/ISIT45174.2021.9517841
2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Larkin Flodin101.35
Arya Mazumdar230741.81