Structure Identification Using Separatevalidation Data - Asymptotic Properties
نویسنده
چکیده
Model structures are compared by estimating their expected prediction performance on a validation data sequence that is independent of the data sequence used for parameter estimation. Here we show that under reasonable assumptions, this common procedure asymptotically leads to a model with the best possible expected prediction performance within the given model set.
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