N. Bora Keskin

N. Bora Keskin

Duke University

H-index: 15

North America-United States

About N. Bora Keskin

N. Bora Keskin, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Duke University, specializes in the field of Dynamic Pricing, Revenue Management, Machine Learning, Statistical Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-driven Population Tracking in Large Service Systems

Selling quality-differentiated products in a Markovian market with unknown transition probabilities

Data-driven clustering and feature-based retail electricity pricing with smart meters

Markdown policies for demand learning with forward-looking customers

The blockchain newsvendor: Value of freshness transparency and smart contracts

The nonstationary newsvendor: Data-driven nonparametric learning

Dynamic learning for joint pricing, advertising, and inventory management

To interfere or not to interfere: Information revelation and price-setting incentives in a multiagent learning environment

N. Bora Keskin Information

University

Position

Associate Professor

Citations(all)

1505

Citations(since 2020)

1230

Cited By

663

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

N. Bora Keskin Skills & Research Interests

Dynamic Pricing

Revenue Management

Machine Learning

Statistical Learning

Top articles of N. Bora Keskin

Title

Journal

Author(s)

Publication Date

Data-driven Population Tracking in Large Service Systems

Kenan Institute of Private Enterprise Research Paper

Fernando Bernstein

N Bora Keskin

Adam Mersereau

Morgan Wood

Serhan Ziya

2024/3/4

Selling quality-differentiated products in a Markovian market with unknown transition probabilities

Operations Research, forthcoming

N Bora Keskin

Meng Li

2023

Data-driven clustering and feature-based retail electricity pricing with smart meters

N.B. Keskin

Y. Li

N. Sunar

2020

Markdown policies for demand learning with forward-looking customers

Bora, Markdown Policies for Demand Learning with Forward-looking Customers (November 31, 2021)

John R Birge

Hongfan Kevin Chen

N Bora Keskin

2021/11/31

The blockchain newsvendor: Value of freshness transparency and smart contracts

Available at SSRN 3915358

N Bora Keskin

Chenghuai Li

Jing-Sheng Jeannette Song

2023/4/25

The nonstationary newsvendor: Data-driven nonparametric learning

Available at SSRN 3866171

N Bora Keskin

Xu Min

Jing-Sheng Jeannette Song

2023/6/7

Dynamic learning for joint pricing, advertising, and inventory management

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4343989

Huseyin Gurkan

N Bora Keskin

Rodney P Parker

2023/1/28

To interfere or not to interfere: Information revelation and price-setting incentives in a multiagent learning environment

Operations Research

John R Birge

Hongfan Chen

N Bora Keskin

Amy Ward

2024/3/27

Dynamic pricing with demand learning: Emerging topics and state of the art

Arnoud V den Boer

Nuri Bora Keskin

2022/4/12

Dynamic pricing and demand learning in nonstationary environments

Arnoud V den Boer

Nuri Bora Keskin

2022/4/12

Dynamic pricing with demand learning and reference effects

Management Science

Arnoud V den Boer

N Bora Keskin

2022/10

Impact of information asymmetry and limited production capacity on business interruption insurance

Management Science

Yuan-Mao Kao

N Bora Keskin

Kevin Shang

2022/4

Data-driven dynamic pricing and ordering with perishable inventory in a changing environment

Management Science

N Bora Keskin

Yuexing Li

Jing-Sheng Song

2022/3

Competition between two-sided platforms under demand and supply congestion effects

Manufacturing & Service Operations Management

Fernando Bernstein

Gregory A DeCroix

N Bora Keskin

2021/9

Dynamic pricing and demand learning on a large network of products: A PAC-Bayesian approach

arXiv preprint arXiv:2111.00790

N Bora Keskin

David Simchi-Levi

Prem Talwai

2021/11/1

Dynamic learning and market making in spread betting markets with informed bettors

Operations Research

John R Birge

Yifan Feng

N Bora Keskin

Adam Schultz

2021/11

Personalized dynamic pricing with machine learning: High-dimensional features and heterogeneous elasticity

Management Science

Gah‐Yi Ban

N Bora Keskin

2021/9

Bayesian dynamic pricing and subscription period selection with unknown customer utility

Available at SSRN 3722376

Yuan-Mao Kao

N Bora Keskin

Kevin Shang

2020/10/27

Discontinuous demand functions: Estimation and pricing

Management Science

Arnoud V den Boer

N Bora Keskin

2020/10

A geotemporal clustering model for COVID-19 projection

Available at SSRN 3686506

N Bora Keskin

Xu Min

Jing-Sheng Jeannette Song

2020/8/31

See List of Professors in N. Bora Keskin University(Duke University)

Co-Authors

H-index: 60
J. Michael Harrison

J. Michael Harrison

Stanford University

H-index: 56
John Birge

John Birge

University of Chicago

H-index: 47
Jing-Sheng Song

Jing-Sheng Song

Duke University

H-index: 42
assaf zeevi

assaf zeevi

Columbia University in the City of New York

H-index: 29
Amy R. Ward

Amy R. Ward

University of Chicago

H-index: 25
Fernando Bernstein

Fernando Bernstein

Duke University

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