Gah‐Yi Ban

London Business School

Sussex Place

Regent's Park

London, London NW1 4SA

United Kingdom

SCHOLARLY PAPERS

6

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Top 9,473

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5,307

SSRN CITATIONS
Rank 21,036

SSRN RANKINGS

Top 21,036

in Total Papers Citations

23

CROSSREF CITATIONS

19

Scholarly Papers (6)

1.

The Big Data Newsvendor: Practical Insights from Machine Learning

Published in Operations Research 67(1):90-108. https://doi.org/10.1287/opre.2018.1757
Number of pages: 55 Posted: 03 Feb 2015 Last Revised: 22 Aug 2019
Gah‐Yi Ban and Cynthia Rudin
London Business School and Duke University - Pratt School of Engineering
Downloads 2,022 (7,943)
Citation 23

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big data, newsvendor, machine learning, Sample Average Approximation, statistical learning theory, quantile regression

2.

Personalized Dynamic Pricing with Machine Learning: High Dimensional Features and Heterogeneous Elasticity

Forthcoming, Management Science
Number of pages: 53 Posted: 25 May 2017 Last Revised: 20 Apr 2020
Gah‐Yi Ban and N. Bora Keskin
London Business School and Duke University - Fuqua School of Business
Downloads 1,929 (8,611)
Citation 15

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dynamic pricing, demand learning, demand uncertainty, regret analysis, lasso, machine learning

3.

Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring

Published in Operations Research 68(2):309-326
Number of pages: 47 Posted: 04 Sep 2015 Last Revised: 14 May 2020
Gah‐Yi Ban
London Business School
Downloads 766 (34,672)

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demand censoring, inventory management, estimation, nonparametric, dynamic programming

4.

Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method

Manufacturing & Service Operations Management, Fall 2019, 21(4):798-815
Number of pages: 40 Posted: 02 Mar 2017 Last Revised: 05 May 2020
Gah‐Yi Ban, Jérémie Gallien and Adam Mersereau
London Business School, London Business School and University of North Carolina Kenan-Flagler Business School
Downloads 483 (63,311)
Citation 9

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new product, inventory management, data-driven operations, scenario tree method, residual tree method, demand uncertainty

5.

Model Mis-Specification in Newsvendor Decisions: A Comparison of Frequentist Parametric, Bayesian Parametric and Nonparametric Approaches

Number of pages: 32 Posted: 01 Jan 2020 Last Revised: 22 Jun 2020
Gah‐Yi Ban, Zhenyu Gao and Fabian Taigel
London Business School, Tsinghua University and University of Wuerzburg, Chair of Logistics and Quantitative Methods
Downloads 106 (275,632)

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data-driven decision-making, newsvendor, inventory, model mis-specification, asymptotic statistics

6.

Business Analytics in the Age of Big Data

Business Strategy Review, Vol. 25, Issue 3, pp. 8-9, 2014
Number of pages: 2 Posted: 13 Sep 2014
Gah‐Yi Ban
London Business School
Downloads 1 (701,794)
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