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Dynamic Joint Assortment and Pricing Optimization With Demand Learning · Study

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PreprintDynamic Joint Assortment and Pricing Optimization With Demand Learning

Sentao Miao2018

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Preprintgreen2018

Dynamic Joint Assortment and Pricing Optimization With Demand Learning

Sentao Miao · Xiuli Chao

27 citations·0/0 files stored·SSRN Electronic Journal

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Supply Chain and Inventory Management Consumer Market Behavior and Pricing Optimization and Search Problems

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References

2012Practical Bayesian Optimization of Machine Learning Algorithms 2002Finite-time Analysis of the Multiarmed Bandit Problem 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems 2003Using confidence bounds for exploitation-exploration trade-offs 2011Improved Algorithms for Linear Stochastic Bandits 1997A Multiproduct Dynamic Pricing Problem and Its Applications to Network Yield Management 2014Learning to Optimize via Posterior Sampling 1999On the Relationship Between Inventory Costs and Variety Benefits in Retail Assortments

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2013Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directionspreprint · 17 shared references 2020Revenue Management and the Rise of the Algorithmic Economyarticle · 11 shared references 2020Product Design Under Multinomial Logit Choices: Optimization of Quality and Prices in an Evolving Product Linearticle · 9 shared references 2014Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Informationarticle · 8 shared references 2017Learning to Optimize via Information-Directed Samplingarticle · 8 shared references 2018Product-Line Pricing Under Discrete Mixed Multinomial Logit Demandarticle · 8 shared references

Details

Year2018

Typepreprint

Published2018-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations27

Files0 public / 0

ShelfSupply Chain and Inventory Management

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doi10.2139/ssrn.3173267

openalex_workW2945907975

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