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On the consequences of planning interval specification error for the estimation of dynamic models

✍ Scribed by Roger R. Betancourt


Publisher
Elsevier Science
Year
1977
Tongue
English
Weight
337 KB
Volume
6
Category
Article
ISSN
0304-4076

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A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the prediction interval) of the underlying distribution of prediction errors. The idea is to partition the input space into dif