Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation

Eyal Yakir, Dor Tsur, Haim Permuter

Time series forecasting is a long-standing problem in statistics and machine learning. One of the key challenges is processing sequences with long-range dependencies. To that end,…