Part-time bayesians : incentives and behavioral heterogeneity in belief updating
Year of publication: |
2023
|
---|---|
Authors: | Alós-Ferrer, Carlos ; Garagnani, Michele |
Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Hanover, Md. : INFORMS, ISSN 1526-5501, ZDB-ID 2023019-9. - Vol. 69.2023, 9, p. 5523-5542
|
Subject: | Bayesian updating | finite mixture models | heterogeneity | incentives | machine learning | reinforcement | Theorie | Theory | Bayes-Statistik | Bayesian inference | Lernprozess | Learning process | Anreiz | Incentives |
-
Effortful Bayesian updating : a pupil-dilation study
Alós-Ferrer, Carlos, (2021)
-
Analysing a built-in advantage in asymmetric darts contests using causal machine learning
Goller, Daniel, (2020)
-
Open-loop policies in Bayesian dynamic pricing : some counter-intuitive observations and insights
Chen, Li, (2019)
- More ...
-
The cognitive foundations of cooperation
Alós-Ferrer, Carlos, (2018)
-
Strength of preference and decision making under risk
Alós-Ferrer, Carlos, (2019)
-
Strength of preference and decision making under risk
Alós-Ferrer, Carlos, (2020)
- More ...