Sample distribution function construction for non-stationary time-series forecasting

The method of non-stationary time-series trajectory generation is proposed in accordance with Fokker–Plank equation for the empirical distribution function density. Parameters of trend and diffusion are estimated on the samples of time-series. The numerical algorithm for pattern recognition functional testing in the non-stationary probability conditions is constructed.