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dc.contributor.authorCatenacci, Michelaen_US
dc.contributor.authorGiupponi, Carloen_US
dc.date.accessioned2010-11-18en_US
dc.date.accessioned2010-12-22T10:42:17Z-
dc.date.available2010-12-22T10:42:17Z-
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10419/43455-
dc.description.abstractBayesian networks (BNs) have been increasingly applied to support management and decision-making processes under conditions of environmental variability and uncertainty, providing logical and holistic reasoning in complex systems since they succinctly and effectively translate causal assertions between variables into patterns of probabilistic dependence. Through a theoretical assessment of the features and the statistical rationale of BNs, and a review of specific applications to ecological modelling, natural resource management, and climate change policy issues, the present paper analyses the effectiveness of the BN model as a synthesis framework, which would allow the user to manage the uncertainty characterising the definition and implementation of climate change adaptation policies. The review will let emerge the potentials of the model to characterise, incorporate and communicate the uncertainty, with the aim to provide an efficient support to an informed and transparent decision making process. The possible drawbacks arising from the implementation of BNs are also analysed, providing potential solutions to overcome them.en_US
dc.language.isoengen_US
dc.publisherFondazione Eni Enrico Mattei (FEEM) Milanoen_US
dc.relation.ispartofseriesNota di lavoro // Fondazione Eni Enrico Mattei: Sustainable Development 2010,7en_US
dc.subject.jelQ54en_US
dc.subject.ddc330en_US
dc.subject.keywordAdaptation to Climate Changeen_US
dc.subject.keywordBayesian Networken_US
dc.subject.keywordUncertaintyen_US
dc.subject.stwKlimaveränderungen_US
dc.subject.stwAnpassungen_US
dc.subject.stwEntscheidung bei Unsicherheiten_US
dc.subject.stwBayes-Statistiken_US
dc.titlePotentials and limits of Bayesian networks to deal with uncertainty in the assessment of climate change adaptation policiesen_US
dc.typeWorking Paperen_US
dc.identifier.ppn640183778en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:FEEM Working Papers, Fondazione Eni Enrico Mattei

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