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