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Overcoming structural uncertainty in computer models |
April 02, 2014
A computer model is a representation of the functional relationship between one set of parameters, which forms the model input, and a corresponding set of target parameters, which forms the model output. A true model for a particular problem can rarely be defined with certainty. The most we can do to mitigate error is to quantify the uncertainty in the model. Scientists have now offered a method to incorporate judgments into a model about structural uncertainty that results from building an 'incorrect' model.
Link: http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computer_science/~3/aAcigoDtqWE/140401112121.htm
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