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    Title: A note on optimal strategies of a generalized two-stage bandit problem
    Authors: 余清祥
    Yue, Jack C.
    Keywords: Optimal strategy;Two-armed Bernoulli bandit;Two-stage decision
    Date: 2004-12
    Issue Date: 2008-12-19 14:52:01 (UTC+8)
    Abstract: In Yue [Yue, J. C. (1999). Generalized two-stage bandit problem. Commun. Statist. Theo. Meth. 28(9):2261-2276], a two-stage approach was used to explore the Bernoulli two-armed bandit problem, where he assumed that one arm has a smaller prior variance than the other arm. In this paper, adapting Yue`s assumption, we study the structure of the optimal strategy, which maximizes the expected number of successes. We confirm the conjecture of Pearson [Pearson, L. M. (1980). Treatment Allocation for Clinical Trials in Stages. Ph.D. thesis, University of Minnesota] that it is never optimal to allocate an equal number of observations to two identical arms in the first stage.
    Relation: Communications in statistics: Theory and methods , 33(7), 1577-1585
    Data Type: article
    DOI link: http://dx.doi.org/10.1081/STA-120037261
    DOI: 10.1081/STA-120037261
    Appears in Collections:[Department of Statistics] Periodical Articles

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