My bibliography
Save this item
A Learning Approach for Interactive Marketing to a Customer Segment
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Andrews, Rick L. & Brusco, Michael J. & Currim, Imran S., 2010. "Amalgamation of partitions from multiple segmentation bases: A comparison of non-model-based and model-based methods," European Journal of Operational Research, Elsevier, vol. 201(2), pages 608-618, March.
- Will Ma, 2018. "Improvements and Generalizations of Stochastic Knapsack and Markovian Bandits Approximation Algorithms," Mathematics of Operations Research, INFORMS, vol. 43(3), pages 789-812, August.
- Santiago R. Balseiro & David B. Brown & Chen Chen, 2021. "Dynamic Pricing of Relocating Resources in Large Networks," Management Science, INFORMS, vol. 67(7), pages 4075-4094, July.
- Stephen Chick & Martin Forster & Paolo Pertile, 2017.
"A Bayesian decision theoretic model of sequential experimentation with delayed response,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1439-1462, November.
- Stephen Chick & Martin Forster & Paolo Pertile, 2015. "A Bayesian Decision-Theoretic Model of Sequential Experimentation with Delayed Response," Discussion Papers 15/09, Department of Economics, University of York.
- Elodie Adida & Georgia Perakis, 2010. "Dynamic pricing and inventory control: robust vs. stochastic uncertainty models—a computational study," Annals of Operations Research, Springer, vol. 181(1), pages 125-157, December.
- Malekipirbazari, Milad, 2025. "Optimizing sequential decision-making under risk: Strategic allocation with switching penalties," European Journal of Operational Research, Elsevier, vol. 321(1), pages 160-176.
- Zhao, Yuxuan & Li, Xiangyong & Luo, Lan, 2025. "Dynamic allocation of display advertising impressions in dual sales channels," Omega, Elsevier, vol. 131(C).
- Ahuja, Vishal & Birge, John R., 2016. "Response-adaptive designs for clinical trials: Simultaneous learning from multiple patients," European Journal of Operational Research, Elsevier, vol. 248(2), pages 619-633.
- Eric M. Schwartz & Eric T. Bradlow & Peter S. Fader, 2017. "Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments," Marketing Science, INFORMS, vol. 36(4), pages 500-522, July.
- Hamsa Bastani & Kimon Drakopoulos & Vishal Gupta & Jon Vlachogiannis & Christos Hadjichristodoulou & Pagona Lagiou & Gkikas Magiorkinis & Dimitrios Paraskevis & Sotirios Tsiodras, 2022. "Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System," Interfaces, INFORMS, vol. 52(5), pages 398-411, September.
- Somayeh Moazeni & Boris Defourny & Monika J. Wilczak, 2020. "Sequential Learning in Designing Marketing Campaigns for Market Entry," Management Science, INFORMS, vol. 66(9), pages 4226-4245, September.
- Jacko, Peter, 2009. "An index for dynamic product promotion and the knapsack problem for perishable items," DES - Working Papers. Statistics and Econometrics. WS ws093111, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Onesun Steve Yoo & Kevin McCardle, 2020. "The Valuator’s Curse: Decision Analysis of Overvaluation and Disappointment in Acquisition," Decision Analysis, INFORMS, vol. 17(4), pages 299-313, December.
- David B. Brown & James E. Smith, 2020. "Index Policies and Performance Bounds for Dynamic Selection Problems," Management Science, INFORMS, vol. 66(7), pages 3029-3050, July.
- Ohlmann, Jeffrey W. & Bean, James C., 2009. "Resource-constrained management of heterogeneous assets with stochastic deterioration," European Journal of Operational Research, Elsevier, vol. 199(1), pages 198-208, November.
- He, Qiao-Chu & Chen, Ying-Ju, 2018. "Dynamic pricing of electronic products with consumer reviews," Omega, Elsevier, vol. 80(C), pages 123-134.
- Francisco Alvarez, 2018. "Decomposing risk in an exploitation–exploration problem with endogenous termination time," Annals of Operations Research, Springer, vol. 261(1), pages 45-77, February.
- Yiangos Papanastasiou & Kostas Bimpikis & Nicos Savva, 2018. "Crowdsourcing Exploration," Management Science, INFORMS, vol. 64(4), pages 1727-1746, April.
- Jue Wang, 2021. "Optimal Bayesian Demand Learning over Short Horizons," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1154-1177, April.
- Springborn, Michael R., 2014. "Risk aversion and adaptive management: Insights from a multi-armed bandit model of invasive species risk," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 226-242.
- Deligiannis, Michalis & Liberopoulos, George, 2023. "Dynamic ordering and buyer selection policies when service affects future demand," Omega, Elsevier, vol. 118(C).
- Hao Zhang, 2022. "Analytical Solution to a Discrete-Time Model for Dynamic Learning and Decision Making," Management Science, INFORMS, vol. 68(8), pages 5924-5957, August.
- Daniel Adelman & Adam J. Mersereau, 2008. "Relaxations of Weakly Coupled Stochastic Dynamic Programs," Operations Research, INFORMS, vol. 56(3), pages 712-727, June.
- Elea McDonnell Feit & Ron Berman, 2019. "Test & Roll: Profit-Maximizing A/B Tests," Marketing Science, INFORMS, vol. 38(6), pages 1038-1058, November.
- Nicolás Aramayo & Mario Schiappacasse & Marcel Goic, 2023. "A Multiarmed Bandit Approach for House Ads Recommendations," Marketing Science, INFORMS, vol. 42(2), pages 271-292, March.
- Vivek F. Farias & Ritesh Madan, 2011. "The Irrevocable Multiarmed Bandit Problem," Operations Research, INFORMS, vol. 59(2), pages 383-399, April.
- Vishal Ahuja & John R. Birge, 2020. "An Approximation Approach for Response-Adaptive Clinical Trial Design," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 877-894, October.