Parameters from statistical reconstruction of Itô process coefficients via normal mixture separation improve autoregressive time series prediction.
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Extraction of informative statistical features in the problem of forecasting time series generated by It{\^{o}}-type processes
Parameters from statistical reconstruction of Itô process coefficients via normal mixture separation improve autoregressive time series prediction.