Selected article for: "Bernoulli pmf probability mass function and patient status"
Author: Junan Zhu; Kristina Rivera; Dror Baron
Title: Noisy Pooled PCR for Virus Testing
  • Document date: 2020_4_11
    • ID: f07zk05y_15
    Snippet: Our system is illustrated in Fig. 1 . We have N patients. The status of each patient is given by x n , where n ∈ {1, . . . , N }. If patient n is sick, then x n = 1, else x n = 0. The N entries are modeled as independent and identically distributed (i.i.d.), and we model x n using a random variable (RV), X n . These N RVs follow a Bernoulli probability mass function (pmf), X n ∼ Ber(ρ),.....
    Document: Our system is illustrated in Fig. 1 . We have N patients. The status of each patient is given by x n , where n ∈ {1, . . . , N }. If patient n is sick, then x n = 1, else x n = 0. The N entries are modeled as independent and identically distributed (i.i.d.), and we model x n using a random variable (RV), X n . These N RVs follow a Bernoulli probability mass function (pmf), X n ∼ Ber(ρ),

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