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Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges
Multi-armed bandit problems (MABPs) are a special type of optimal control problem well suited to model resource allocation under uncertainty in a wide variety of contexts. Since the first publication of the optimal solution of the classic MABP by a dynamic index rule, the bandit literature quickly d...
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| 出版年: | Stat Sci |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4856206/ https://ncbi.nlm.nih.gov/pubmed/27158186 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/14-STS504 |
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