Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints

Research article (Journal of Applied Statistics, 2017) · cited 24× · AI/ML
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Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints

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Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-adaptive-bandit-based-designs-using-the-gittins-index-for-multi-armed-trials-with-normally-distributed-endpoint
MLA “Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-adaptive-bandit-based-designs-using-the-gittins-index-for-multi-armed-trials-with-normally-distributed-endpoint.
BibTeX @misc{4ortxyz_bayesian-adaptive-bandit-based-designs-using-the-gittins-index-for-multi-armed-trials-with-normally-distributed-endpoint_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-adaptive-bandit-based-designs-using-the-gittins-index-for-multi-armed-trials-with-normally-distributed-endpoint}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints — https://4ort.xyz/entity/bayesian-adaptive-bandit-based-designs-using-the-gittins-index-for-multi-armed-trials-with-normally-distributed-endpoint (retrieved 2026-05-24)

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