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Lower Previsions for Unbounded Random Variables

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Book cover Soft Methods in Probability, Statistics and Data Analysis

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 16))

Abstract

In order to generalise Walley’s theory of lower previsions, which are real-valued maps on bounded random variables, to arbitrary random variables, we introduce extended lower previsions as extended real-valued maps on arbitrary, not necessarily bounded, random variables. We suggest and motivate conditions for avoiding sure loss, coherence and linearity, we construct a natural extension, and we suggest a way to generalise some of the more advanced topological results from the existing theory of lower previsions.

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© 2002 Springer-Verlag Berlin Heidelberg

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Troffaes, M.C.M., de Cooman, G. (2002). Lower Previsions for Unbounded Random Variables. In: Grzegorzewski, P., Hryniewicz, O., Gil, M.Á. (eds) Soft Methods in Probability, Statistics and Data Analysis. Advances in Intelligent and Soft Computing, vol 16. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1773-7_13

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  • DOI: https://doi.org/10.1007/978-3-7908-1773-7_13

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1526-9

  • Online ISBN: 978-3-7908-1773-7

  • eBook Packages: Springer Book Archive

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