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Combining probabilistic socio-economic and biological information by Bayesian networks - fisheries and environmental experiences

Creator:

Uusitalo, Laura, Mäntyniemi, Samu, and Haapasaari, Päivi

Abstract:

In this paper, we review our experiences in combining cross disciplinary, probabilistic information by Bayesian networks. They seem to be potential tools in combining the optimization orientated economic modeling tradition to the somewhat different traditions of sociological sciences and further to the empirically orientated biological approaches. Calculus is based on...

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experiences Author(s): Laura Uusitalo, Samu Mäntyniemi, Päivi Haapasaari Abstract: In this paper
Probabilistic assessment, management and advice model for fishery management in the case of poor data availability: the EU POORFISH project

Creator:

Failler, Fierre, Tfeil, Brahim Ould Mouhamed, Jarvenpaa, Kirsi, Uusitalo, Laura, Laurans, Martial, Large, Phil, and Pilling, Graham

Abstract:

The objective of the European POORFISH project (2005-2008) is to create an advisory system (assessment, advice, and/or management) approach based on methods able to deal with data poor systems (utilizing both expert knowledge and published information in addition to existing data sets). There are basically at least three types of...

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project Author(s): Fierre Failler, Brahim Ould Mouhamed Tfeil, Kirsi Jarvenpaa, Laura Uusitalo