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Linking Informal Knowledge and Expertise to Forecasting Models

Objective

To combine model-based predictions with the experience of forecasters and the knowledge of domain experts
A computer system, called Likely, has been developed, which includes an automated system for monitoring forecasts with interactive graphical tools. The modelling of beliefs through stochastic simulation applied to graphical models has been studied.

The technical approach included an analysis of why past predictions differed from actual performance. New situations were incorporated within the process. A probabilistic reasoning strategy was developed, based on an influence diagram.
Technical approach : - expert will specify why past predictions have differed from actual performance; - expert will notify new situations to incorporate within the forecasting process; - early-warning of significant changes. Probabilistic reasoning strategy will be based on an influence diagram.

Topic(s)

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Call for proposal

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Funding Scheme

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Coordinator

SCOTTISH AGRICULTURAL STATISTICS SERVICE (SASS)
EU contribution
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Address
KING'S BUILDINGS
EDINBURGH
United Kingdom

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Participants (6)