Parameter estimation and uncertainty quantification for an epidemic model

Parameter estimation and uncertainty quantification for an epidemic model

We examine estimation of the parameters of Susceptible-Infective-Recovered(SIR) models in the context of least squares. We review the use ofasymptotic statistical theory and sensitivity analysis to obtain measuresof uncertainty for estimates of the model parameters and the basicreproductive number...

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Bibliographic Details
Main Authors: Alex Capaldi, Samuel Behrend, Benjamin Berman, Jason Smith, Justin Wright, Alun L. Lloyd
Format: Article
Language:English
Published: AIMS Press 2012-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
parameter identifiability.
inverse problem
sensitivity analysis
sampling methods
asymptotic statistical theory
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.553
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