A Bayesian framework for large-scale geo-demand estimation in on-line retailing

DOI10.1007/s10479-016-2383-1zbMath1390.90036OpenAlexW2766203630MaRDI QIDQ1639228

Y. Aharonov

Publication date: 12 June 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-016-2383-1

zbMATH Keywords

Bayesian estimationtensor completiongeo-demandmixture of multinomials

Mathematics Subject Classification ID

Inventory, storage, reservoirs (90B05)

Related Items (1)

A Bayesian framework for large-scale geo-demand estimation in on-line retailing

Uses Software

• R
• hts
• PRMLT

Cites Work

• Unnamed Item
• Optimal combination forecasts for hierarchical time series
• A Bayesian framework for large-scale geo-demand estimation in on-line retailing
• 10.1162/jmlr.2003.3.4-5.993

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