Selected article for: "false positive probability and iteration number"
Author: Junan Zhu; Kristina Rivera; Dror Baron
Title: Noisy Pooled PCR for Virus Testing
  • Document date: 2020_4_11
    • ID: f07zk05y_27
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.06.20055384 doi: medRxiv preprint Algorithm 1 GAMP Inputs. Maximum iterations t max , percentage of sick patients ρ, false negative probability p 1 , false positive probability p 2 , measurements y, and matrix A. Initialize. t, k, h m , Θ m , x n , s n , ∀m, n. Comment. t is iteration number, k is mean of our estimate for Ax, h m is c.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.06.20055384 doi: medRxiv preprint Algorithm 1 GAMP Inputs. Maximum iterations t max , percentage of sick patients ρ, false negative probability p 1 , false positive probability p 2 , measurements y, and matrix A. Initialize. t, k, h m , Θ m , x n , s n , ∀m, n. Comment. t is iteration number, k is mean of our estimate for Ax, h m is correction term for w m , Θ m is variance of h, x n is our estimate for x n , s n is variance in our estimate x n . h m = g out (k m , y m , θ m ) 7:

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