Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution
- Author
- HARRISON, J. Michael1 ; BORA KESKIN, N1 ; ZEEVI, Assaf2
[1] Graduate School of Business, Stanford University, Stanford, California 94305, United States
[2] Graduate School of Business, Columbia University, New York, New York 10027, United States - Source
Management science. 2012, Vol 58, Num 3, pp 570-586, 17 p ; ref : 1/4 p
- CODEN
- MSCIAM
- ISSN
- 0025-1909
- Scientific domain
- Control theory, operational research; Management economics
- Publisher
- Institute for Operations Research and the Management Sciences, Hanover, MD
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Bayesian learning estimation exploration-exploitation pricing revenue management
- Keyword (fr)
- Bénéfice Court terme Estimation Bayes Fixation prix Loi a priori Modélisation Programmation dynamique Système incertain Tarification Taux profit Temps réel Vente Revenu financier
- Keyword (en)
- Profit Short term Bayes estimation Pricing Prior distribution Modeling Dynamic programming Uncertain system Tariffication Return rate Real time Sales Income
- Keyword (es)
- Beneficio Corto plazo Estimación Bayes Fijación precios Ley a priori Modelización Programación dinámica Sistema incierto Tarificación Porcentaje ganancia Tiempo real Venta Ingresos
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A10 Portfolio theory
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A14 Firm modelling
- Discipline
- Operational research. Management
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 25626038
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1287/mnsc.1110.1426 
https://dx.doi.org/10.1287/mnsc.1110.1426
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