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arXiv Machine Learning By Stefano Damato, Nicol\`o Rubattu, Dario Azzimonti, Giorgio Corani

Intermittent time series forecasting: local vs global models

Read the original on arXiv Machine Learning →

arXiv:2601. 14031v2 Announce Type: replace-cross Abstract: Forecasting intermittent time series, which contain zeros, is a crucial challenge in supply chains as inventory policies require probabilistic forecasts to establish safety levels.

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