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_39
Snippet: where parameter 0 < a < 1 regulate the rate at which the weights decrease exponentially so that the higher the value of alpha, the more weight is given to recent data relative to older data ( Fig. 1 ). Fig. 1 . Weight values according to simple exponential smoothing for various values of parameter a which regulate the rate at which the weights decrease exponentially. The higher the value of alpha, the more weight is given to recent data relative .....
Document: where parameter 0 < a < 1 regulate the rate at which the weights decrease exponentially so that the higher the value of alpha, the more weight is given to recent data relative to older data ( Fig. 1 ). Fig. 1 . Weight values according to simple exponential smoothing for various values of parameter a which regulate the rate at which the weights decrease exponentially. The higher the value of alpha, the more weight is given to recent data relative to older data.
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