Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale. Seeger, M. W., Rangapuram, S. S., Wang, Y., Salinas, D., Gasthaus, J., Januschowski, T., & Flunkert, V. CoRR, 2017.
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale [link]Paper  bibtex   
@article{DBLP:journals/corr/abs-1709-07638,
  author    = {Matthias W. Seeger and
               Syama Sundar Rangapuram and
               Yuyang Wang and
               David Salinas and
               Jan Gasthaus and
               Tim Januschowski and
               Valentin Flunkert},
  title     = {Approximate Bayesian Inference in Linear State Space Models for Intermittent
               Demand Forecasting at Scale},
  journal   = {CoRR},
  volume    = {abs/1709.07638},
  year      = {2017},
  url       = {http://arxiv.org/abs/1709.07638},
  archivePrefix = {arXiv},
  eprint    = {1709.07638},
  timestamp = {Sat, 15 Dec 2018 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1709-07638.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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