Kernel-density estimation and approximate Bayesian computation for flexible epidemiological model fitting in Python

Fitting complex models to epidemiological data is a challenging problem: methodologies can be inaccessible to all but specialists, there may be challenges in adequately describing uncertainty in model fitting, the complex models may take a long time to run, and it can be difficult to fully capture t...

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Bibliographic Details
Main Authors: Michael A. Irvine, T. Déirdre Hollingsworth
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Epidemics
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436518300185