Omar Besbes

Columbia University - Columbia Business School, Decision Risk and Operations

Vikram S. Pandit Professor of Business

New York, NY

United States

  • Columbia University - Columbia Business School, Decision Risk and Operations

SCHOLARLY PAPERS

40

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20,155

TOTAL CITATIONS
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SSRN RANKINGS

Top 2,990

in Total Papers Citations

449

Scholarly Papers (40)

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1.

How Big Should Your Data Really Be? Data-Driven Newsvendor: Learning One Sample at a Time

Columbia Business School Research Paper
Number of pages: 69 Posted: 08 Jul 2021 Last Revised: 27 Jul 2022
Omar Besbes and Omar Mouchtaki
Columbia University - Columbia Business School, Decision Risk and Operations and New York University (NYU) - Leonard N. Stern School of Business
Downloads 1,242 (34,514)
Citation 36

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Limited data, data-driven decisions, minimax regret, approximation ratio, sample average approximation, empirical optimization, finite samples, robust optimization

2.

Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design

NET Institute Working Paper No. 12-11, Columbia Business School Research Paper No. 12/55
Number of pages: 69 Posted: 21 Sep 2012 Last Revised: 22 Jun 2014
Santiago Balseiro, Omar Besbes and Gabriel Y. Weintraub
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and Stanford Graduate School of Business, Stanford University
Downloads 1,135 (39,302)
Citation 15

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auction design, revenue management, ad exchange, display advertising, internet, budget constraints, dynamic games, mean field, fluid approximation

3.

Pricing with Samples

Number of pages: 67 Posted: 19 Mar 2019 Last Revised: 02 Jul 2021
Amine Allouah, Achraf Bahamou and Omar Besbes
Facebook, Columbia University - Department of Industrial Engineering and Operations Research and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 1,112 (40,556)
Citation 8

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Pricing, data-driven decision-making, robust pricing, value of information, market research, monotone hazard rate distributions, regular distributions, approximation ratio.

4.

On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning

Columbia Business School Research Paper No. 12-5
Number of pages: 34 Posted: 12 Jan 2012 Last Revised: 11 Mar 2014
Omar Besbes and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 1,085 (42,035)
Citation 57

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model misspecification, inference, price optimization, revenue management, myopic pricing

5.

Non-Stationary Stochastic Optimization

Operations Research. 2015, Vol. 63 (5), Pages 1227-1244.
Number of pages: 18 Posted: 20 Jul 2013 Last Revised: 15 Nov 2015
Omar Besbes, Yonatan Gur and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations, Netflix and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 925 (52,539)
Citation 34

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stochastic approximation, non-stationary, minimax regret, online convex optimization

6.

On Information Distortions in Online Ratings

Columbia Business School Research Paper No. 13-36
Number of pages: 33 Posted: 17 May 2013 Last Revised: 17 Dec 2016
Omar Besbes and Marco Scarsini
Columbia University - Columbia Business School, Decision Risk and Operations and Luiss University Dipartimento di Economia e Finanza
Downloads 880 (56,275)
Citation 20

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online reviews, quality biases, stochastic approximation, stochastic order, sequential analysis, manipulation

7.

Surge Pricing and Its Spatial Supply Response

Columbia Business School Research Paper No. 18-25
Number of pages: 92 Posted: 27 Feb 2018 Last Revised: 20 May 2019
Omar Besbes, Francisco Castro and Ilan Lobel
Columbia University - Columbia Business School, Decision Risk and Operations, University of California, Los Angeles (UCLA) - Anderson School of Management and New York University (NYU)
Downloads 879 (56,354)
Citation 39

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Spatial Pricing, Revenue Management, Ride-Hailing, Strategic Supply, Market Design

8.

Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising

Number of pages: 52 Posted: 10 Jun 2019 Last Revised: 23 Aug 2021
Raghav Singal, Omar Besbes, Antoine Désir, Vineet Goyal and Garud Iyengar
Tuck School of Business at Dartmouth College, Columbia University - Columbia Business School, Decision Risk and Operations, INSEAD, Columbia University - Department of Industrial Engineering and Operations Research (IEOR) and Columbia University - Department of Industrial Engineering and Operations Research (IEOR)
Downloads 843 (59,668)

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digital economy, online advertising, attribution, Markov chain, Shapley value, causality

9.

Optimization in Online Content Recommendation Services: Beyond Click-Through Rates

Manufacturing & Service Operations Management. 2016, Vol. 18 (1), Pages 15-33. , Columbia Business School Research Paper No. 14-33
Number of pages: 19 Posted: 01 Aug 2014 Last Revised: 02 Feb 2016
Omar Besbes, Yonatan Gur and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations, Netflix and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 833 (60,668)
Citation 8

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online services, dynamic assortment selection, data-driven optimization, recommendation systems, content marketing, digital marketing, path data.

10.

On Implications of Demand Censoring in the Newsvendor Problem

Management Science, June 2013, Vol. 59, No. 6, 1407-1424, Columbia Business School Research Paper No. 12-7
Number of pages: 44 Posted: 12 Jan 2012 Last Revised: 13 Jul 2013
Omar Besbes and Alp Muharremoglu
Columbia University - Columbia Business School, Decision Risk and Operations and University of Texas at Dallas - Naveen Jindal School of Management
Downloads 720 (73,498)
Citation 28

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inventory management, newsvendor, estimation, nonparametric, demand censoring

11.

Spatial Capacity Planning

Number of pages: 60 Posted: 13 Dec 2018 Last Revised: 19 Feb 2019
Omar Besbes, Francisco Castro and Ilan Lobel
Columbia University - Columbia Business School, Decision Risk and Operations, University of California, Los Angeles (UCLA) - Anderson School of Management and New York University (NYU)
Downloads 673 (80,111)
Citation 19

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heavy traffic, queueing, capacity sizing, staffing, spatial operations, QED regime, ride-hailing, ride-sharing, asymptotic analysis

12.

Signaling Competition in Two-Sided Markets

Number of pages: 40 Posted: 23 May 2023 Last Revised: 15 Aug 2023
Omar Besbes, Yuri Fonseca, Ilan Lobel and Fanyin Zheng
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations, New York University (NYU) and Columbia University - Columbia Business School
Downloads 672 (80,258)

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Online marketplaces, Decentralized matching, competition, information design.

13.

Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms

Operations Research, Vol. 57, No. 6, pp. 1407-1420, November-December 2009, Columbia Business School Research Paper
Number of pages: 14 Posted: 19 Oct 2011
Omar Besbes and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 647 (84,113)
Citation 31

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14.

Dynamic Mechanism Design with Budget Constrained Buyers Under Limited Commitment

Columbia Business School Research Paper No. 16-10
Number of pages: 89 Posted: 22 Jan 2016 Last Revised: 02 Nov 2018
Santiago Balseiro, Omar Besbes and Gabriel Y. Weintraub
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and Stanford Graduate School of Business, Stanford University
Downloads 635 (86,222)
Citation 1

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dynamic mechanism design, limited commitment, budget constraints, fluid approximation, display advertising, internet auctions, revenue management

15.

Intertemporal Price Discrimination: Structure and Computation of Optimal Policies

Management Science, Vol. 61, No. 1, January 2015, pp. 92–110., Columbia Business School Research Paper No. 12/46
Number of pages: 45 Posted: 08 Aug 2012 Last Revised: 17 Feb 2015
Omar Besbes and Ilan Lobel
Columbia University - Columbia Business School, Decision Risk and Operations and New York University (NYU)
Downloads 633 (86,718)
Citation 19

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pricing, optimization, intertemporal pricing, price discrimination, strategic consumers, stockpiling

16.

Optimal Pricing with a Single Point

Number of pages: 87 Posted: 11 Mar 2021 Last Revised: 28 Mar 2022
Amine Allouah, Achraf Bahamou and Omar Besbes
Facebook, Columbia University - Department of Industrial Engineering and Operations Research and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 611 (90,560)

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pricing, data-driven algorithms, conversion rate, limited information, randomized algorithms, value of data

17.

Beyond IID: data-driven decision making in heterogeneous environments

Columbia Business School Research Paper No. 4140928
Number of pages: 86 Posted: 27 Jun 2022 Last Revised: 01 Jan 2025
Omar Besbes, Will Ma and Omar Mouchtaki
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and New York University (NYU) - Leonard N. Stern School of Business
Downloads 592 (94,501)
Citation 3

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data-driven algorithms, distribution shift, distributionally robust optimization, minimax regret, sample average approximation, pricing, newsvendor, ski-rental

18.

Prior-Independent Optimal Auctions

Columbia Business School Research Paper No. 18-24
Number of pages: 69 Posted: 23 Feb 2018 Last Revised: 28 Jul 2019
Amine Allouah and Omar Besbes
Facebook and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 577 (97,432)
Citation 3

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optimal auctions, limited information, prior-independent, robust mechanism design, competitive ratio, dominant strategy incentive compatibility, regular distributions, monotone hazard rate distributions

19.

The Exploration-Exploitation Trade-off in the Newsvendor Problem

Columbia Business School Research Paper No. 14-61
Number of pages: 70 Posted: 26 Nov 2014 Last Revised: 04 Nov 2021
Omar Besbes, Juan Chaneton and Ciamac C. Moallemi
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 471 (124,837)
Citation 6

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demand censoring, inventory management, exploration-exploitation tradeoff, dynamic learning, finite time analysis, newsvendor, myopic policy, exploration-exploitation trade-off, Bayesian analysis

20.

Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-Stationary Rewards

Stochastic Systems 9 (4), 319-337 (2019)
Number of pages: 30 Posted: 15 May 2014 Last Revised: 02 Jan 2020
Omar Besbes, Yonatan Gur and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations, Netflix and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 470 (125,476)
Citation 41

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Multi-armed bandit, exploration/exploitation, non-stationary, minimax regret

21.

Auctions in the Online Display Advertising Chain: A Case for Independent Campaign Management

Columbia Business School Research Paper No. 17-60
Number of pages: 57 Posted: 19 May 2017 Last Revised: 13 Jun 2017
Amine Allouah and Omar Besbes
Facebook and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 417 (144,283)
Citation 6

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Auction Design, Revenue Management, Value Chain, Intermediaries, Internet Display Advertising, Demand Side Platforms, Collusion

22.

Dynamic Pricing Strategies in the Presence of Demand Shifts

Manufacturing & Service Operations Management, 2014, 16(4):513-528, Columbia Business School Research Paper No. 13-67
Number of pages: 33 Posted: 16 Aug 2013 Last Revised: 15 Jun 2016
Omar Besbes and Denis Saure
Columbia University - Columbia Business School, Decision Risk and Operations and University of Chile - Industrial Engineering
Downloads 410 (147,136)
Citation 6

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revenue management, dynamic pricing, non-stationary demand, model uncertainty

23.

Product Assortment and Price Competition Under Multinomial Logit Demand

Columbia Business School Research Paper No. 15-5
Number of pages: 36 Posted: 26 Dec 2014
Omar Besbes and Denis Saure
Columbia University - Columbia Business School, Decision Risk and Operations and University of Chile - Industrial Engineering
Downloads 397 (152,562)
Citation 4

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assortment planning, competition, choice models, multinomial Logit, pricing

24.

Pricing Analytics for Rotable Spare Parts

Forthcoming, INFORMS Journal on Applied Analytics , Columbia Business School Research Paper Forthcoming
Number of pages: 29 Posted: 06 Nov 2019 Last Revised: 29 May 2020
Omar Besbes, Adam N. Elmachtoub and Yunjie Sun
Columbia University - Columbia Business School, Decision Risk and Operations, Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University and affiliation not provided to SSRN
Downloads 395 (153,420)
Citation 1

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price optimization, reusable resources, rotable spare parts, large-scale implementation, analytics

25.

Testing the Validity of a Demand Model: An Operations Perspective

Manufacturing & Service Operations Management, Vol. 12, No. 1, pp. 162-183, Winter 2010 , Columbia Business School Research Paper No. 11-18
Number of pages: 22 Posted: 19 Oct 2011
Omar Besbes, Robert Phillips and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 392 (155,134)
Citation 2

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26.

From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms

Columbia Business School Research Paper No. 4361470
Number of pages: 59 Posted: 21 Feb 2023 Last Revised: 24 Dec 2024
Omar Besbes, Will Ma and Omar Mouchtaki
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and New York University (NYU) - Leonard N. Stern School of Business
Downloads 355 (172,725)

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data-driven stochastic optimization, empirical risk minimization, k-nearest neighbors, contextual newsvendor, worst-case regret

27.

Contracting in Medical Equipment Maintenance Services: An Empirical Investigation

ESMT Working Paper No. 14-05
Number of pages: 32 Posted: 11 Sep 2014
Tian Heong Chan, Francis de Véricourt and Omar Besbes
Emory University - Goizueta Business School, ESMT European School of Management and Technology and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 310 (199,819)
Citation 8

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Maintenance repair, service contracting, co-production, empirical operations management, service chain value, healthcare industry

28.

Dynamic Pricing with Financial Milestones: Feedback-Form Policies

Management Science, Forthcoming, Columbia Business School Research Paper No. 12-8
Number of pages: 42 Posted: 12 Jan 2012
Omar Besbes and Costis Maglaras
Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 252 (247,303)
Citation 6

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Revenue management, dynamic pricing, market uncertainty, estimation, feedback, real estate, asymptotic analysis

29.

On the Minimax Complexity of Pricing in a Changing Environment

Operations Research, Vol. 59, No. 1, pp. 66-79, 2011, Columbia Business School Research Paper No. 12-6
Number of pages: 14 Posted: 12 Jan 2012
Omar Besbes and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 215 (288,410)
Citation 4

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pricing, nonstationary demand, estimation, detection, change-point, price experimentation

30.

Blind Network Revenue Management

Operations Research, 2012, 60(6):1537-1550
Number of pages: 49 Posted: 12 Dec 2014
Omar Besbes and Assaf Zeevi
Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 201 (307,136)
Citation 29

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revenue management; network; pricing; nonparametric estimation; minimax; learning; asymptotic optimality; curse of dimensionality

31.

Dynamic Pricing Under Debt: Spiraling Distortions and Efficiency Losses

Stanford University Graduate School of Business Research Paper No. 16-29, Columbia Business School Research Paper No. 16-46
Number of pages: 77 Posted: 09 Jun 2016 Last Revised: 24 May 2017
Omar Besbes, Dan Iancu and Nikolaos Trichakis
Columbia University - Columbia Business School, Decision Risk and Operations, Stanford Graduate School of Business and Massachusetts Institute of Technology (MIT)
Downloads 196 (314,312)
Citation 6

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dynamic pricing, debt, pricing distortions, channel efficiency, firm value, spiral-down

32.

Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply

Number of pages: 48 Posted: 13 Sep 2022 Last Revised: 13 Jul 2024
Omar Besbes, Vineet Goyal, Garud Iyengar and Raghav Singal
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Department of Industrial Engineering and Operations Research (IEOR), Columbia University - Department of Industrial Engineering and Operations Research (IEOR) and Tuck School of Business at Dartmouth College
Downloads 187 (328,047)

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on-demand services, scheduling, workers' supply, gig-economy wages History : This version: July '24. Third version: May '24. Second version: Nov. '23. First version: Aug. '22

33.

On the Robustness of Second-Price Auctions in Prior-Independent Mechanism Design

Number of pages: 51 Posted: 09 May 2022 Last Revised: 11 Dec 2024
Jerry Anunrojwong, Santiago Balseiro and Omar Besbes
Columbia University, Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 178 (343,045)
Citation 2

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prior-independent, robust mechanism design, minimax regret, second-price auction with random reserve

34.

Revenue Optimization for a Make-to-Order Queue in an Uncertain Market Environment

Operations Research, Vol. 57, No. 6, pp. 1407-1450., November-December 2009, Columbia Business School Research Paper
Number of pages: 13 Posted: 19 Oct 2011
Omar Besbes and Costis Maglaras
Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 148 (401,500)
Citation 2

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35.

Going Bunkers: The Joint Route Selection and Refueling Problem

Manufacturing & Service Operations Management, Vol. 11, No. 4, pp. 694-711, Fall 2009, Columbia Business School Research Paper
Number of pages: 18 Posted: 19 Oct 2011
Omar Besbes and Sergei Savin
Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School
Downloads 109 (508,347)

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36.

Fast Revenue Maximization

Number of pages: 32 Posted: 12 Jul 2024 Last Revised: 15 Oct 2024
Achraf Bahamou, Omar Besbes and Omar Mouchtaki
Columbia University - Department of Industrial Engineering and Operations Research, Columbia University - Columbia Business School, Decision Risk and Operations and New York University (NYU) - Leonard N. Stern School of Business
Downloads 105 (522,359)

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pricing, data-driven algorithms, value of data, distributionally robust optimization, conversion rate, limited information, experiments

37.

Contextual Inverse Optimization: Offline and Online Learning

Number of pages: 66 Posted: 10 Jun 2021 Last Revised: 06 Sep 2023
Omar Besbes, Yuri Fonseca and Ilan Lobel
Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and New York University (NYU)
Downloads 78 (628,835)
Citation 2

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contextual optimization, online optimization, imitation learning, inverse optimization, learning from revealed preferences, data-driven decision-making

38.

Robust Auction Design with Support Information

Number of pages: 76 Posted: 21 May 2023 Last Revised: 02 Jan 2025
Jerry Anunrojwong, Santiago Balseiro and Omar Besbes
Columbia University, Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 72 (661,354)
Citation 3

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robust mechanism design, minimax regret, maximin ratio, support information, prior-independent, standard mechanisms, second-price auctions, pooling

39.

Battery Operations in Electricity Markets: Strategic Behavior and Distortions

Columbia Business School Research Paper No. 4877753
Number of pages: 40 Posted: 26 Jul 2024
Jerry Anunrojwong, Santiago Balseiro, Omar Besbes and Bolun Xu
Columbia University, Columbia University - Columbia Business School, Decision Risk and Operations, Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University
Downloads 58 (742,451)

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energy storage, batteries, electricity markets, economic withholding, market power, renewable energy, duck curve, two-stage settlement, day-ahead, real-time

40.

The Best of Many Robustness Criteria in Decision Making: Formulation and Application to Robust Pricing

Number of pages: 37 Posted: 15 Apr 2024
Jerry Anunrojwong, Santiago Balseiro and Omar Besbes
Columbia University, Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 45 (816,279)

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