Papers / Updated at: 2026-11-01

Seeger et al. (2017): Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale

Authors:

• Matthias Seeger
• Syama Rangapuram
• Yuyang Wang
• David Salinas
• Jan Gasthaus
• Tim Januschowski
• Valentin Flunkert

Source: https://arxiv.org/abs/1709.07638

DOI: https://doi.org/10.48550/arXiv.1709.07638

Mentioned in:

• Böse et al. (2017): Probabilistic Demand Forecasting at Scale
• 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