Selected article for: "observation model and sample probability"

Author: Lionel Roques; Etienne Klein; Julien Papaix; Samuel Soubeyrand
Title: Mechanistic-statistical SIR modelling for early estimation of the actual number of cases and mortality rate from COVID-19
  • Document date: 2020_3_24
  • ID: dqg8fkca_10
    Snippet: Observation model. We suppose that the number of cases tested positive on day t, denoted byδ t , follow independent binomial laws, conditionally on the number of tests n t carried out on day t, and on p t the probability of being tested positive in this sample:.....
    Document: Observation model. We suppose that the number of cases tested positive on day t, denoted byδ t , follow independent binomial laws, conditionally on the number of tests n t carried out on day t, and on p t the probability of being tested positive in this sample:

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