Abstract
A statistical nonlinear model validation method is suggested based on the Gaussian processes framework. Instead of testing for correlation between the residuals and certain test variables, as in traditional statistical tests, a parameterized model of the correlation is proposed and the significance for this model is tested. The test makes it possible to validate against nonlinear models without making detailed assumptions on the structure of the nonlinearities.
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