Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions

By Arnoud V. den Boer. 2013

523 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/24dce56c9e0d1eb2da6ab9cf4f00326625f62aef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Ashwinkumar Badanidiyuru
2. Aleksandrs Slivkins
3. Robert D. Kleinberg
4. Graziano Abrate
5. Juan Luis Nicolau
6. G. Viglia

In Management Science and Operations Research

1. Aleksandrs Slivkins
2. Ashwinkumar Badanidiyuru
3. Robert D. Kleinberg
4. Graziano Abrate
5. G. Viglia
6. Andreas Krause
7. Csaba Szepesvari
8. Tor Lattimore

In Marketing

1. G. Viglia
2. Graziano Abrate
3. Ashwinkumar Badanidiyuru
4. Aleksandrs Slivkins
5. Robert D. Kleinberg
6. Juan Luis Nicolau

Citations in the corpus

• The impact of dynamic price variability on revenue maximization (2019, background): “Additionally, applying dynamic pricing with incomplete information is complex and requires quite advanced skills (Den Boer, 2015).”
• Bandits with Knapsacks (2013, methodology): “While we only cited articles that pursue regretminimizing formulation of dynamic pricing, Bayesian and parametric formulations versions have a rich literature in Operations Research and Economics; see Boer [19] for a literature review.”
• Introduction to Multi-Armed Bandits (2019, background): “While this discussion focuses on regret-minimizing formulations of dynamic pricing, Bayesian and parametric formulations versions have a rich literature in Operations Research and Economics (Boer, 2015).”