A convolutional framework for detecting event-driven dynamics in energy price series
A general convolutional neural network framework for detecting heterogeneous event-driven dynamics in univariate time series windows and it is shown that the induced CNN class exactly represents classifiers based on range, maximum drawup, maximum drawdown and slope change, and uniformly approximates realised volatility...
Caixuan Xu, Piotr Fryzlewicz
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