Technical Note—Dynamic Data-Driven Estimation of Nonparametric Choice Models

Nam Ho-Nguyen
Corresponding Author
Nam Ho-Nguyen
[email protected]
https://orcid.org/0000-0003-4464-7730
Discipline of Business Analytics, The University of Sydney, New South Wales 2006, Australia;
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,
Fatma Kılınç-Karzan
Fatma Kılınç-Karzan
[email protected]
https://orcid.org/0000-0001-5939-4575
Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
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Corresponding Author

Nam Ho-Nguyen

[email protected]

https://orcid.org/0000-0003-4464-7730

Discipline of Business Analytics, The University of Sydney, New South Wales 2006, Australia;

Search for more papers by this author

,

Fatma Kılınç-Karzan

Fatma Kılınç-Karzan

[email protected]

https://orcid.org/0000-0001-5939-4575

Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213

Search for more papers by this author

Published Online:28 Apr 2021https://doi.org/10.1287/opre.2020.2077

Supplemental Material

opre.2020.2077.sm1.pdf

cover image Operations Research

Volume 69, Issue 4

July-August 2021

Pages ii-iv, 1015-1348, C2

Article Information

Supplemental Material

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Received:August 29, 2018
Accepted:August 05, 2020
Published Online:April 28, 2021

Copyright © 2021, INFORMS

Cite as

Nam Ho-Nguyen ,, Fatma Kılınç-Karzan (2021) Technical Note—Dynamic Data-Driven Estimation of Nonparametric Choice Models. Operations Research 69(4):1228-1239.

https://doi.org/10.1287/opre.2020.2077

Keywords