Selected article for: "best fit and maximum likelihood"
Author: Stephen M Kissler; Christine Tedijanto; Edward Goldstein; Yonatan H. Grad; Marc Lipsitch
Title: Projecting the transmission dynamics of SARS-CoV-2 through the post-pandemic period
  • Document date: 2020_3_6
    • ID: f4hj35dr_44
    Snippet: We then used a hill-climbing algorithm to identify the maximum likelihood parameter values, using the best-fit parameter combination from the LHS scheme as initial conditions. The model was implemented in R version 3.6.1 (35) and solved using the lsoda() function (36). We further validated the model by visually comparing its estimates of the effective reproduction number for each strain against the regression-based estimates described above. The .....
    Document: We then used a hill-climbing algorithm to identify the maximum likelihood parameter values, using the best-fit parameter combination from the LHS scheme as initial conditions. The model was implemented in R version 3.6.1 (35) and solved using the lsoda() function (36). We further validated the model by visually comparing its estimates of the effective reproduction number for each strain against the regression-based estimates described above. The model-based effective reproduction number was calculated as the product of the basic reproduction number and the proportion of susceptible individuals in the population at time t, accounting for crossimmunity (37).

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