A negative binomial approximation in group testing
Probability
2023-09-19 v2 Information Theory
math.IT
Statistics Theory
Statistics Theory
Abstract
We consider the problem of group testing (pooled testing), first introduced by Dorfman. For non-adaptive testing strategies, we refer to a non-defective item as `intruding' if it only appears in positive tests. Such items cause mis-classification errors in the well-known COMP algorithm, and can make other algorithms produce an error. It is therefore of interest to understand the distribution of the number of intruding items. We show that, under Bernoulli matrix designs, this distribution is well approximated in a variety of senses by a negative binomial distribution, allowing us to understand the performance of the two-stage conservative group testing algorithm of Aldridge.
Cite
@article{arxiv.2203.07803,
title = {A negative binomial approximation in group testing},
author = {Letian Yu and Fraser Daly and Oliver Johnson},
journal= {arXiv preprint arXiv:2203.07803},
year = {2023}
}