The Big Data Newsvendor: Practical Insights from Machine Learning

Gah-Yi Ban
Corresponding Author
Gah-Yi Ban
http://orcid.org/0000-0003-3229-1386
Management Science & Operations, London Business School, London NW1 4SA, United Kingdom;
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,
Cynthia Rudin
Cynthia Rudin
http://orcid.org/0000-0003-4283-2780
Department of Computer Science, Department of Electrical and Computer Engineering, and Statistical Science, Duke University, Durham, North Carolina 27708
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Corresponding Author

Gah-Yi Ban

http://orcid.org/0000-0003-3229-1386

Management Science & Operations, London Business School, London NW1 4SA, United Kingdom;

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,

Cynthia Rudin

http://orcid.org/0000-0003-4283-2780

Department of Computer Science, Department of Electrical and Computer Engineering, and Statistical Science, Duke University, Durham, North Carolina 27708

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Published Online:7 Nov 2018https://doi.org/10.1287/opre.2018.1757

Supplemental Material

opre.2018.1757.sm1.pdf

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cover image Operations Research

Volume 67, Issue 1

January-February 2019

Pages ii-iv, 1-294

Article Information

Supplemental Material

Metrics

Information

Received:February 01, 2015
Accepted:March 02, 2018
Published Online:November 07, 2018

Copyright © 2018, INFORMS

Cite as

Gah-Yi Ban, Cynthia Rudin (2018) The Big Data Newsvendor: Practical Insights from Machine Learning. Operations Research 67(1):90-108.

https://doi.org/10.1287/opre.2018.1757

Keywords