A comparison of two sensitivity analysis techniques based on four bayesian models representing ecosystem services provision in the Argentine Pampas

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Sensitivity analyses (SAs) identify how an output variable of a model is modified by changes in the input variables. These analyses are a good way for assessing the performance of probabilistic models, like Bayesian Networks (BN). However, there are several commonly used SAs in BN literature, and fo...

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Detalles Bibliográficos
Otros Autores:	Rositano, Florencia, Piñeiro, Gervasio, Bert, Federico E., Ferraro, Diego Omar
Formato:	Artículo
Lenguaje:	Inglés
Materias:	SENSITIVITY ANALYSES PROBABILISTIC MODELS BAYESIAN NETWORKS ONE-AT-A-TIME SENSITIVITY TO FINDINGS
Acceso en línea:	http://ri.agro.uba.ar/files/intranet/articulo/2017rositano.pdf LINK AL EDITOR
Aporte de:	Registro referencial: Solicitar el recurso aquí Biblioteca Central (FAUBA) de Universidad de Buenos Aires

A comparison of two sensitivity analysis techniques based on four bayesian models representing ecosystem services provision in the Argentine Pampas

Aportado por: Biblioteca Central (FAUBA)

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Artículo

A comparison of two sensitivity analysis techniques based on four bayesian models representing ecosystem services provision in the Argentine Pampas

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