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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