Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for ...

Topics include: autocorrelation; stationarity, trend removal and seasonal adjustment; AR, MA, ARMA, ARIMA; estimation; forecasting; model diagnostics; unit root test; introduction to financial time ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Further, IBM’s Planning Analytics Workspace allows users to forecast with automated tools that model time-dependent data, making it easy to make predictions even if they are unfamiliar with time ...

The FORECAST procedure provides forecasting of univariate time series using automatic trend extrapolation. PROC FORECAST is an easy-to-use procedure for automatic forecasting that uses simple popular ...