P. Bidyuk

Investigation of ensemble approaches and hybrid architectures for financial time series forecasting

The problem of short-term forecasting of financial time series characterized by nonlinearity, non-stationarity and sensitivity to external shocks is investigated. The application of ensemble methods of combining models (bagging, boosting, stacking), as well as the construction of hybrid neural architectures combining L...