Jan 15, 2014 · We consider a new group testing model wherein each item is a binary random variable defined by an a priori probability of being defective.
The goal of group testing algorithms is to identify with high probability the subset of defectives via non-linear. (disjunctive) binary measurements. Our main ...
Jul 21, 2018 · The goal of a group testing algorithm is to identify with high probability the subset of defectives via non-linear (disjunctive) binary ...
The goal of group testing algorithms is to identify with high probability the subset of defectives via non-linear (disjunctive) binary measurements. Our main ...
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A new group testing model wherein each item is a binary random variable defined by an a priori probability of being defective, whereby under loose ...
Jan 24, 2014 · The goal of group testing algorithms is to identify with high probability the subset of defectives via non-linear. (disjunctive) binary ...
Group testing with prior statistics. Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi · School of Mathematics. Research output: Chapter in ...
Group testing is any procedure that breaks up the task of identifying certain objects into tests on groups of items, rather than on individual ones.
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The purpose of this article is to introduce how estimation can be performed with data arising through group testing. Focus is on estimating the probability an ...
We construct optimal designs for group testing experiments where the goal is to estimate the prevalence of a trait using a test with uncertain sensitivity ...