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Dario Azzimonti

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#machine learning Preprint Sep 2026

fable.intermittent: benchmarking probabilistic forecasting methods for intermittent time series

fable$.$intermittent, an R package that implements several probabilistic forecasting methods for intermittent series within the fable framework, and TWEES, a new exponential smoothing model with a Tweedie predictive distribution are introduced.

Stefano Damato, Lorenzo Zambon, G. Corani et al. · 0 citations

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