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    • We show that preferences on random numbers which satisfy certain natural properties can be represented, in the setting of topological vector spaces, by a suitable family of continuous previsions which is, in a sense, unique. Moreover, for most commonly used spaces of random numbers, we establish that one can derive these preferences, via an expectation operator, from a suitable family of probabilities (whether or not finitely additive).


    Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11368/1695672

    Titolo: Representing complete and incomplete subjective linear preferences on random numbers
    Autori interni: GIROTTO, BRUNO
    HOLZER, SILVANO
    Data di pubblicazione: 2003
    Rivista: DECISIONS IN ECONOMICS AND FINANCE  
    Abstract: We show that preferences on random numbers which satisfy certain natural properties can be represented, in the setting of topological vector spaces, by a suitable family of continuous previsions which is, in a sense, unique. Moreover, for most commonly used spaces of random numbers, we establish that one can derive these preferences, via an expectation operator, from a suitable family of probabilities (whether or not finitely additive).
    Handle: http://hdl.handle.net/11368/1695672
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