MetaARIMA: Configuration-Level Transfer Learning for ARIMA Models
arXiv:2610.34171v1 Announce Type: new Abstract: Time Series Foundation Models have demonstrated that pretraining on diverse datasets enables effective transfer to new forecasting tasks. Classical methods like ARIMA, however, remain configured and trained independently for each series, discarding kn…
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- 2026-10-27 04:00 · arXiv stat.ML
MetaARIMA: Configuration-Level Transfer Learning for ARIMA Models
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