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

The method of non-stationary time-series trajectory generation is proposed in accordance with Liouville evolution equation for the empirical distribution function density. With this generated series the non-autonomic dynamical chaotic system can be associated. For this system the Liapunov factor is estimated in the case of quasi-stationary initial distribution.