GrippeBelgiqueV4, Main, Exploration, bibRecord, 000067

A Bayesian framework for parameter estimation in dynamical models.

Identifieur interne : 000067 ( Main/Exploration ); précédent : 000066; suivant : 000068

A Bayesian framework for parameter estimation in dynamical models.

Auteurs : Flávio Codeço Coelho [Portugal] ; Cláudia Torres Codeço ; M Gabriela M. Gomes

Source :

PloS one [ 1932-6203 ] ; 2011.

RBID : pubmed:21629684

Descripteurs français

KwdFr :
- Belgique, Incertitude, Modèles théoriques, Pays-Bas, Portugal, Théorème de Bayes.
MESH :
- Belgique, Incertitude, Modèles théoriques, Pays-Bas, Portugal, Théorème de Bayes.
Wicri :
- geographic : Belgique, Pays-Bas, Portugal.

English descriptors

KwdEn :
- Bayes Theorem, Belgium, Models, Theoretical, Netherlands, Portugal, Uncertainty.
MESH :
- geographic : Belgium, Netherlands, Portugal.
- Bayes Theorem, Models, Theoretical, Uncertainty.

Abstract

Mathematical models in biology are powerful tools for the study and exploration of complex dynamics. Nevertheless, bringing theoretical results to an agreement with experimental observations involves acknowledging a great deal of uncertainty intrinsic to our theoretical representation of a real system. Proper handling of such uncertainties is key to the successful usage of models to predict experimental or field observations. This problem has been addressed over the years by many tools for model calibration and parameter estimation. In this article we present a general framework for uncertainty analysis and parameter estimation that is designed to handle uncertainties associated with the modeling of dynamic biological systems while remaining agnostic as to the type of model used. We apply the framework to fit an SIR-like influenza transmission model to 7 years of incidence data in three European countries: Belgium, the Netherlands and Portugal.

DOI: 10.1371/journal.pone.0019616
PubMed: 21629684

Affiliations:

Portugal

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Le document en format XML

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A Bayesian framework for parameter estimation in dynamical models.

A Bayesian framework for parameter estimation in dynamical models.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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Pour générer des pages wiki