Data Collaboration Uncertainty propagation in predictive models made easy.
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Data Collaboration Tags

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Data Collaboration Description

Data Collaboration is a handy framework designed to be used for uncertainty propagation in predictive models targeted for collaborative science. The software allows the user to input results of one or more experimental measurements taken on the system along with their expected uncertainty. Taken with a parametrized model, the observations implicitly describe a set of feasible parameter values. Questions about this set, such as is it nonempty (model validation) or what is the range of values a given model can take over it (model prediction) are posed as mathematical programs. These are solved by recently developed techniques for optimization problems involving polynomials.

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