METHODOLODGY FOR STATISTICAL LEARNING OF NONLINEAR MODEL PARAMETERS WITH THE INTEGRAL FORM OF OLS IN THE SCHEME OF DIFFERENTIAL-NONTAYLOR TRANSFORMATIONS
Keywords:
data science, statistical learning, time series, nonlinear, modelsAbstract
The article presents the methodology for statistical learning of nonlinear model parameters, its principle and efficiency of application. The results of modeling are shown with the statistical characteristics of the obtained expectation compared with the results of the application of the statistical learning methodology using the differential spectra balance.
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