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Dynamic Stochastic Dominance in Bandit Decision Problems

Author

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  • Magnac, T.
  • Robin, J.M.

Abstract

The aim of this paper is to study the monotonicity properties with respect to the probability distribution of the state processes, of optimal decisions in bandit decision problems. Orderings of dynamic discrete projects are provided by extending the notion of stochastic dominance to stochastic processes.
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Suggested Citation

  • Magnac, T. & Robin, J.M., 1992. "Dynamic Stochastic Dominance in Bandit Decision Problems," DELTA Working Papers 92-18, DELTA (Ecole normale supérieure).
    • Handle: RePEc:del:abcdef:92-18
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    Cited by:

    1. is not listed on IDEAS
    2. Jean-Philippe Chancelier & Michel De Lara & André de Palma, 2007. "Risk Aversion, Road Choice, and the One-Armed Bandit Problem," Transportation Science, INFORMS, vol. 41(1), pages 1-14, February.
    3. Jean-Philippe Chancelier & Michel Lara & André Palma, 2009. "Risk aversion in expected intertemporal discounted utilities bandit problems," Theory and Decision, Springer, vol. 67(4), pages 433-440, October.
    4. Alfred Müller & Marco Scarsini, 2002. "Even Risk-Averters may Love Risk," Theory and Decision, Springer, vol. 52(1), pages 81-99, February.

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