Selected article for: "Metropolis Hastings algorithm and uniform prior"
Author: Yuan Zhang; Chong You; Zhenghao Cai; Jiarui Sun; Wenjie Hu; Xiao-Hua Zhou
Title: Prediction of the COVID-19 outbreak based on a realistic stochastic model
  • Document date: 2020_3_13
    • ID: 0xzsa21a_83
    Snippet: where ∆H t and ∆R t are the newly confirmed and recovered cases on day t, λ t and γ t are the functions of model parameters E(0), IN (0),λ IN , θ E , ρ, q and γ IH based on the Mean-field Differential Equation System. Parameters are estimated by the posterior means through the Metropolis-Hastings algorithm implemented in the R package POMP where non-informative uniform distributions are chosen as the prior distributions, see Table 1 and.....
    Document: where ∆H t and ∆R t are the newly confirmed and recovered cases on day t, λ t and γ t are the functions of model parameters E(0), IN (0),λ IN , θ E , ρ, q and γ IH based on the Mean-field Differential Equation System. Parameters are estimated by the posterior means through the Metropolis-Hastings algorithm implemented in the R package POMP where non-informative uniform distributions are chosen as the prior distributions, see Table 1 and 2 for more details.

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