Non-parametric method for estimating regime change in bivariate time series setting.
A new tool for detecting changes in dynamic rules in population time series data
A Smart Constitution Code and a Supporting Draft
Predictive modeling of 67 years of atmospheric CO₂ using regime‐shift detection (STL + PELT) and ensemble forecasting (ARIMA, SARIMA, Holt–Winters, RF, ANN, LSTM). Evaluated with in-sample, out-of-sample, and prequential rolling forecasts to deliver reliable five-year projections with regime shif
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