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Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...
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Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...
Persistent link: https://www.econbiz.de/10014049172
new algorithm which is based on the regression later approach. Under some regularity assumptions, the solution of a … regression later algorithm based on the least squares Monte Carlo method and the previous connection between the quasi …-linear parabolic partial differential equation and the FBSDE. The proposed algorithm yields good convergence results in practice. We …
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