Bayesian strategies for dynamic pricing in e‐commerce

DOI10.1002/nav.20204zbMath1130.91329OpenAlexW2076010882MaRDI QIDQ5433531

Eric W. Cope

Publication date: 9 January 2008

Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nav.20204

zbMATH Keywords

Dirichlet priorreinforcement learningdynamic pricinguncertain demandE-commercenonparametric Bayesian models

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bayesian problems; characterization of Bayes procedures (62C10) Microeconomic theory (price theory and economic markets) (91B24)

Related Items (6)

Tracking the market: dynamic pricing and learning in a changing environment ⋮ Optimal pricing to minimize maximum regret with limited demand information ⋮ Pricing optimization and competition under the linear nested stochastic choice model ⋮ A Bayesian learning model for estimating unknown demand parameter in revenue management ⋮ ROBUST DYNAMIC PRICING OVER INFINITE HORIZON IN THE PRESENCE OF MODEL UNCERTAINTY ⋮ Dynamic Pricing with Multiple Products and Partially Specified Demand Distribution

Cites Work

• Bayesian survival analysis
• Unnamed Item

This page was built for publication: Bayesian strategies for dynamic pricing in e‐commerce