AR-Sieve Bootstrap for Random Forest: A Simulation-Based Comparison with Rangerts for Time Series Prediction

The AR-Sieve Bootstrap (ARSB) can create more diverse trees in Random Forest, leading to improved forecasting accuracy compared to other bootstrap strategies, especially for time series with a dominant autoregressive component.