Covariate models for bernoulli bandits

DOI10.1080/07474948908836190zbMath0703.62080OpenAlexW2006733863MaRDI QIDQ3482726

Murray K. Clayton

Publication date: 1989

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474948908836190

zbMATH Keywords

optimal strategieslogitcovariatelog-linearprobability of successtwo-armed banditsone-armed banditsBernoulli responsesnon-covariat modelsSequential selections

Mathematics Subject Classification ID

Sequential statistical design (62L05) Sequential statistical analysis (62L10)

Related Items (6)

Woodroofe's one-armed bandit problem revisited ⋮ Bandit and covariate processes, with finite or non-denumerable set of arms ⋮ Optimal Bayesian strategies for the infinite-armed Bernoulli bandit ⋮ Arbitrary side observations in bandit problems ⋮ Covariate-adjusted response-adaptive randomization for multi-arm clinical trials using a modified forward looking Gittins index rule ⋮ Randomized allocation with nonparametric estimation for a multi-armed bandit problem with covariates

Cites Work

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• Bernoulli one-armed bandits - Arbitrary discount sequences
• A Bayesian nonparametric sequential test for the mean of a population
• Bayesian nonparametric bandits
• The two-armed bandit with delayed responses
• Two-stage bandits
• On Sequential Designs for Maximizing the Sum of $n$ Observations
• A One-Armed Bandit Problem with a Concomitant Variable
• A Bernoulli Two-armed Bandit
• Inequalities: theory of majorization and its applications

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