Selected article for: "joint distribution and prior distribution"
Author: Manuel Adrian Acuna-Zegarra; Andreu Comas-Garcia; Esteban Hernandez-Vargas; Mario Santana-Cibrian; Jorge X. Velasco-Hernandez
Title: The SARS-CoV-2 epidemic outbreak: a review of plausible scenarios of containment and mitigation for Mexico
  • Document date: 2020_3_31
    • ID: aiq6ejcq_88
    Snippet: Consider that parameters a, r, K and α as random variables. Assuming prior independence, the joint prior distribution for vector θ is π(θ) = π(a)π(r)π(K)π(α),.....
    Document: Consider that parameters a, r, K and α as random variables. Assuming prior independence, the joint prior distribution for vector θ is π(θ) = π(a)π(r)π(K)π(α),

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