2009
DOI: 10.1007/978-3-642-03073-4_39
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A General Representation Theorem for Probability Functions Satisfying Spectrum Exchangeability

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Cited by 3 publications
(3 citation statements)
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“…. , b i+1 ) not uniform randomly as was the case for u p L but, roughly speaking, with a probability proportional to the number of ways of extending this state description to one of spectrum of length exactly t, again requiring that whenever c i = c j then b i , b j remain forever 13 The Ladder Theorem representation of u p L is given explicitly in Landes (2009, p. 71) and Paris and Vencovská (2009). [149] 36 Synthese (2011) 181:19-47 indistinguishable. For the precise details of this construction we refer the reader to Landes et al (2009) and Paris and Vencovská (2007).…”
Section: [A Very Full Account Of This Construction Is Given In Landesmentioning
confidence: 98%
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“…. , b i+1 ) not uniform randomly as was the case for u p L but, roughly speaking, with a probability proportional to the number of ways of extending this state description to one of spectrum of length exactly t, again requiring that whenever c i = c j then b i , b j remain forever 13 The Ladder Theorem representation of u p L is given explicitly in Landes (2009, p. 71) and Paris and Vencovská (2009). [149] 36 Synthese (2011) 181:19-47 indistinguishable. For the precise details of this construction we refer the reader to Landes et al (2009) and Paris and Vencovská (2007).…”
Section: [A Very Full Account Of This Construction Is Given In Landesmentioning
confidence: 98%
“…The answer is 'yes', though it is not clear that it will yet be of much use! Precisely the following is proved in Paris and Vencovská (2009): Theorem 7 Every probability function w satisfying Sx is of the form…”
Section: Theorem 6 a Probability Function W Satisfies Sx And LI If Anmentioning
confidence: 99%
“…This is analogous to the situation with Atom Exchangeability, Ax, and its generalization to Polyadic Pure Inductive Logic, Spectrum Exchangeability, see [12]. This analogy also extends to the General Representation Theorem, stating that each probability function satisfying Px is a scaled difference of probability functions satisfying ULi (see [14]).…”
Section: Discussionmentioning
confidence: 80%