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On distributional robust probability functions and their computations

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  • Wong, Man Hong
  • Zhang, Shuzhong

Abstract

Consider a random vector, and assume that a set of its moments information is known. Among all possible distributions obeying the given moments constraints, the envelope of the probability distribution functions is introduced in this paper as distributional robust probability function. We show that such a function is computable in the bi-variate case under some conditions. Connections to the existing results in the literature and its applications in risk management are discussed as well.

Suggested Citation

  • Wong, Man Hong & Zhang, Shuzhong, 2014. "On distributional robust probability functions and their computations," European Journal of Operational Research, Elsevier, vol. 233(1), pages 23-33.
    • Handle: RePEc:eee:ejores:v:233:y:2014:i:1:p:23-33
    DOI: 10.1016/j.ejor.2013.08.044
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