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

Blomqvist, Björn R. H. ; Mann, Richard P. ; Sumpter, David J. T.

PLoS ONE, 2018, Vol.13(5) [Periódico revisado por pares]

SwePub (National Library of Sweden)

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Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators.(Research Article)

Blomqvist, Bjorn R. H. ; Mann, Richard P. ; Sumpter, David J. T.

PLoS ONE, May 9, 2018, Vol.13(5), p.e0196355 [Periódico revisado por pares]

Cengage Learning, Inc.

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

Blomqvist, Björn R. H. ; Mann, Richard P. ; Sumpter, David J. T. Daniels, Bryan C

PLOS ONE, 5/9/2018, Vol.13(5), p.e0196355 [Periódico revisado por pares]

Public Library of Science (ViaCrossRef)

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

Blomqvist, Björn R H ; Mann, Richard P ; Sumpter, David J T

PloS one, 2018, Vol.13(5), pp.e0196355 [Periódico revisado por pares]

MEDLINE/PubMed (U.S. National Library of Medicine)

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

Björn R H Blomqvist ; Richard P Mann ; David J T Sumpter

PLoS ONE, 01 January 2018, Vol.13(5), p.e0196355 [Periódico revisado por pares]

Directory of Open Access Journals (DOAJ)

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