ONE-ARMED BANDIT PROBLEMS WITH COVARIATES
成果类型:
Article
署名作者:
SARKAR, J
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1176348382
发表日期:
1991
页码:
1978-2002
关键词:
allocation
摘要:
As does Woodroofe, we consider a Bayesian sequential allocation between two treatments that incorporates a covariate. The goal is to maximize the total discounted expected reward from an infinite population of patients. Although our model is more general than Woodroofe's, we are able to duplicate his main result: The myopic rule is asymptotically optimal.
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