Selected article for: "bayesian approach and posterior estimate"

Author: Joshua A Salomon
Title: Defining high-value information for COVID-19 decision-making
  • Document date: 2020_4_8
  • ID: iymhykq8_62
    Snippet: The parameters listed in the section above were calibrated using a Bayesian approach to estimate the posterior distribution for these parameters, operationalized using sampling importance resampling (SIR) (Raftery and Bao, 2010) . The target data comprised of confirmed COVID-19 cases through March 15, 2020, across six counties in the San Francisco Bay Area......
    Document: The parameters listed in the section above were calibrated using a Bayesian approach to estimate the posterior distribution for these parameters, operationalized using sampling importance resampling (SIR) (Raftery and Bao, 2010) . The target data comprised of confirmed COVID-19 cases through March 15, 2020, across six counties in the San Francisco Bay Area.

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