Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series

In three linesOnline framework modeling streaming time series as dynamic mixtures of time-delay systems. Uses compact tensor representation of Markov parameters to capture system dynamics and input delays, with tensor decomposition for rapid regime adaptation. DelayMix outperforms baselines on real non-stationary data with superior forecast accuracy and faster delay adaptation.

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