On the equivalence of conglomerability and disintegrability for unbounded random variables
Mark J. Schervish (),
Teddy Seidenfeld () and
Joseph B. Kadane ()
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Mark J. Schervish: Carnegie Mellon University
Teddy Seidenfeld: Carnegie Mellon University
Joseph B. Kadane: Carnegie Mellon University
Statistical Methods & Applications, 2014, vol. 23, issue 4, No 4, 518 pages
Abstract:
Abstract We extend a result of Dubins (Ann Probab 3:89–99, 1975) from bounded to unbounded random variables. Dubins showed that a finitely additive expectation over the collection of bounded random variables can be written as an integral of conditional expectations (disintegrability) if and only if the marginal expectation is always within the smallest closed interval containing the conditional expectations (conglomerability). We give a sufficient condition to extend this result to collections of random variables that have finite expected value and whose conditional expectations are finite and have finite expected value.
Keywords: Finite additivity; Law of total probability; Daniell integral; Coherence; Primary 60A05; Secondary 28C05 (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s10260-014-0282-7
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