Learning to Forecast Dynamical Systems from Streaming Data

Dimitris Giannakis, Amelia Henriksen, Joel A. Tropp +1

Kernel analog forecasting (KAF) is a powerful methodology for data-driven, non-parametric forecasting of dynamically generated time series data. This approach has a rigorous founda…