Forecasting Promotional Uplift in Retail: A Comparative Analysis of Econometric and Machine Learning Models

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Keywords	Econometric modeling, Machine learning, SCAN*PRO, Random Forests, Gradient Boosting, Sales promotion forecasting, Promotional uplift
Thesis Advisor	Gabel, Sebastian, Roos, J.M.T.
Persistent URL	hdl.handle.net/2105/77188
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Werkman, Gijs. (2024). Forecasting Promotional Uplift in Retail: A Comparative Analysis of Econometric and Machine Learning Models. In Business Analytics & Management.http://hdl.handle.net/2105/77188

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