Some Optimal Strategies for Bandit Problems with Beta Prior Distributions
Year of publication: |
2000
|
---|---|
Authors: | Lin, Chien-Tai ; Shiau, C. |
Published in: |
Annals of the Institute of Statistical Mathematics. - Springer. - Vol. 52.2000, 2, p. 397-405
|
Publisher: |
Springer |
Subject: | Bandit problems | sequential experimentation | dynamic allocation of Bernoulli processes | staying-with-a-winner | switching-on-a-loser | k-failure strategy | m-run strategy | non-recalling m-run strategy | N-learning strategy |
-
A note on infinite-armed Bernoulli bandit problems with generalized beta prior distributions
Chen, Kung-Yu, (2005)
-
Remedial education: Evidence from a sequence of experiments in Colombia
Álvarez Marinelli, Horacio, (2019)
-
A Bayesian decision-theoretic model of sequential experimentation with delayed response
Chick, Stephen E., (2015)
- More ...
-
Analysis of Current Status Data with Missing Covariates
Wen, Chi-Chung, (2011)
-
Asymptotic properties of maximum likelihood estimators based on progressive Type-II censoring
Lin, Chien-Tai, (2011)
-
Decision theory - Some optimal strategies for bandit problems with beta prior distributions
Lin, Chien-Tai, (2000)
- More ...