Selected article for: "generation interval distribution and prior knowledge"
Author: Yong Tao
Title: Maximum entropy method for estimating the reproduction number: An investigation for COVID-19 in China
  • Document date: 2020_3_20
    • ID: 7umn0vkv_18
    Snippet: to calculate the approximate estimates of the mean value Ì… and the variance 2 . Given the approximate estimates of Ì… and 2 as the prior information, we maximize the information entropy of the generation interval to infer the function shape of the probability distribution ( ). This is the basic idea of the MaxEnt, which agrees with everything that is known, but avoids assuming anything that is not known [15] . The resulting statistical inference.....
    Document: to calculate the approximate estimates of the mean value Ì… and the variance 2 . Given the approximate estimates of Ì… and 2 as the prior information, we maximize the information entropy of the generation interval to infer the function shape of the probability distribution ( ). This is the basic idea of the MaxEnt, which agrees with everything that is known, but avoids assuming anything that is not known [15] . The resulting statistical inference gives the least biased predictions of the shapes of probability distributions consistent with prior knowledge [23] .

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