Papers / Updated at: 2026-11-01

Seeger et al. (2016): Bayesian Intermittent Demand Forecasting for Large Inventories

Authors:

• Matthias W Seeger
• David Salinas
• Valentin Flunkert

Source: https://proceedings.neurips.cc/paper/2016/hash/03255088ed63354a54e0e5ed957e9008-Abstract.html

Mentioned in:

• Sample Paths From Any Model
• Böse et al. (2017): Probabilistic Demand Forecasting at Scale
• Salinas et al. (2017): DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
• Seeger et al. (2016): Bayesian Intermittent Demand Forecasting for Large Inventories
• Seeger et al. (2017): Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale