A Bayesian framework for large-scale geo-demand estimation in on-line retailing
type: Item
instance of: scholarly article
title: A Bayesian framework for large-scale geo-demand estimation in on-line retailing
zbMATH Open document ID: 1390.90036
author: Y. Aharonov
published in: Annals of Operations Research
publication date: 2018-06-12T00:00:00Z
Mathematics Subject Classification ID: 90B05
zbMATH DE Number: 6886406
zbMATH Keywords: Bayesian estimation
zbMATH Keywords: geo-demand
zbMATH Keywords: mixture of multinomials
zbMATH Keywords: tensor completion
describes a project that uses: hts
describes a project that uses: R
describes a project that uses: PRMLT
MaRDI profile type: Publication
full work available at URL: s10479-016-2383-1
OpenAlex ID: W2766203630
cites work: Q5483032
cites work: 10.1162/jmlr.2003.3.4-5.993
cites work: Optimal combination forecasts for hierarchical time series
DOI: 10.1007/S10479-016-2383-1
description: scientific article; zbMATH DE number 6886406