Corpus ID: 208076701

Optimal adaptive group testing

@article{HahnKlimroth2019OptimalAG,
  title={Optimal adaptive group testing},
  author={Max Hahn-Klimroth and Philipp Loick},
  journal={ArXiv},
  year={2019},
  volume={abs/1911.06647}
}

• Max Hahn-Klimroth, Philipp Loick
• Published 2019
• Mathematics, Computer Science
• ArXiv

The group testing problem is concerned with identifying a small number $k \sim n^\theta$ for $\theta \in (0,1)$ of infected individuals in a large population of size $n$. At our disposal is a testing procedure that allows us to test groups of individuals. This paper considers two-stage designs where the test results of the first stage can inform the design of the second stage. We are interested in the minimum number of tests to recover the set of infected individuals w.h.p. Equipped with a… Expand

View PDF on arXiv

Save to Library

Create Alert

Cite

Launch Research Feed