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A Contrast Between two Decision Rules for use with (Convex) Sets of Probabilities: Γ-Maximin Versus E-Admissibilty
10 references·16 citing·42 second hop
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this work references cited by second hop

References

  • 1989Maxmin expected utility with non-unique prior4,063 cited
  • 1973A Treatise on Probability2,575 cited
  • 1952Rational Decisions975 cited
  • 1977Social Choice Theory: A Re-Examination692 cited
  • 1974On Indeterminate Probabilities547 cited
  • 2004Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory455 cited
  • 1995A representation of partially ordered preferences163 cited
  • 2017Picking and Choosing124 cited
  • 1988Decision Theory Without “Independence” or Without “Ordering”93 cited
  • 1980Quasi-Bayesian Behaviour: A more realistic approach to decision making?88 cited

Cited by

  • 2019Decision-making with belief functions: A review213 cited
  • 2009A dynamic mechanism and surplus extraction under ambiguity66 cited
  • 2020Dutch Book Arguments53 cited
  • 2015Can Free Evidence Be Bad? Value of Information for the Imprecise Probabilist47 cited
  • 2008SHACKLE AND MODERN DECISION THEORY36 cited
  • 2007Information Processing under Imprecise Risk with the Hurwicz criterion

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33 cited
  • 2014SHOULD SUBJECTIVE PROBABILITIES BE SHARP?30 cited
  • 2014Subjective Probabilities Need Not be Sharp27 cited
  • 2011Normal form backward induction for decision trees with coherent lower previsions16 cited
  • 2015Dilation, Disintegrations, and Delayed Decisions13 cited
  • 2007Information processing under imprecise risk with an insurance demand illustration8 cited
  • 2016A Representation Theorem for Frequently Irrational Agents6 cited
  • 2022On the Normative Status of Mixed Strategies2 cited
  • 2013Weak rationality and imprecise choice2 cited
  • 2021Risiko, Unsicherheit und Ungewissheit2 cited
  • 2021Risiko, Unsicherheit und Ungewissheit1 cited