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Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators

Social and economic systems produce complex and nonlinear relationships in the indicator variables that describe them. We present a Bayesian methodology to analyze the dynamical relationships between indicator variables by identifying the nonlinear functions that best describe their interactions. We...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Blomqvist, Björn R. H., Mann, Richard P., Sumpter, David J. T.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5942783/
https://ncbi.nlm.nih.gov/pubmed/29742126
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0196355
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