Bayesian learning, smooth approximate optimal behavior, and convergence to ε-Nash equilibrium
Year of publication: |
2015
|
---|---|
Authors: | Noguchi, Yuichi |
Published in: |
Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics. - [Wechselnde Erscheinungsorte] : [Wechselnde Verlage], ISSN 0012-9682, ZDB-ID 1798-X. - Vol. 83.2015, 1, p. 353-373
|
Subject: | Bayesian learning | smooth approximate optimal behavior | convergence | ε-Nash equilibrium | η-learning to predict strategies | Theorie | Theory | Lernprozess | Learning process | Bayes-Statistik | Bayesian inference | Lernen | Learning |
-
Learning, disagreement and inflation forecasting
Chen, Ji, (2022)
-
Bayesian inventory control : accelerated demand learning via exploration boosts
Chuang, Ya-Tang, (2023)
-
Ding, Chuan, (2023)
- More ...
-
Merging with a set of probability measures: a characterization
Noguchi, Yuichi, (2015)
-
Bayesian Learning, Smooth Approximate Optimal Behavior, and Convergence to ε‐Nash Equilibrium
Noguchi, Yuichi, (2015)
-
Merging with a set of probability measures: a characterization
Noguchi, Yuichi, (2015)
- More ...