Selected article for: "error structure and Poisson distribution"

Author: Chowell, Gerardo
Title: Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts
  • Document date: 2017_8_12
  • ID: 3aa8wgr0_29
    Snippet: 1) Noise in the data which is typically addressed by assuming a particular error structure in the data, e.g., Poisson vs. negative binomial distribution; and 2) The underlying assumptions in the model employed for inferring parameter estimates from data......
    Document: 1) Noise in the data which is typically addressed by assuming a particular error structure in the data, e.g., Poisson vs. negative binomial distribution; and 2) The underlying assumptions in the model employed for inferring parameter estimates from data.

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