Matthias W. Seeger, David Salinas, Valentin Flunkert. Bayesian Intermittent Demand Forecasting for Large Inventories. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 4646-4654, 2016. [doi]
@inproceedings{SeegerSF16,
title = {Bayesian Intermittent Demand Forecasting for Large Inventories},
author = {Matthias W. Seeger and David Salinas and Valentin Flunkert},
year = {2016},
url = {http://papers.nips.cc/paper/6313-bayesian-intermittent-demand-forecasting-for-large-inventories},
researchr = {https://researchr.org/publication/SeegerSF16},
cites = {0},
citedby = {0},
pages = {4646-4654},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain},
editor = {Daniel D. Lee and Masashi Sugiyama and Ulrike V. Luxburg and Isabelle Guyon and Roman Garnett},
}