Bayesian Intermittent Demand Forecasting for Large Inventories

Matthias W. Seeger, David Salinas, Valentin Flunkert

Aug-11-2025, 13:28:54 GMT–Neural Information Processing Systems

There, demand is highly intermittent and bursty: long runs of zeros, with islands of high counts.

approximation, forecasting, likelihood, (13 more...)

Neural Information Processing Systems

Aug-11-2025, 13:28:54 GMT

Conferences PDF

Country:
- Europe
  - Germany (0.04)
  - Spain > Catalonia
    - Barcelona Province > Barcelona (0.04)
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.04)
    - Oxfordshire > Oxford (0.04)
- North America > Trinidad and Tobago
  - Trinidad > Arima > Arima (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (1.00)
    - Statistical Learning (0.94)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.95)

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Bayesian Intermittent Demand Forecasting for Large Inventories
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