2007
DOI: 10.1002/malq.200710010
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Admissible representations for probability measures

Abstract: In a recent paper, probabilistic processes are used to generate Borel probability measures on topological spaces X that are equipped with a representation in the sense of Type-2 Theory of Effectivity. This gives rise to a natural representation of the set M(X) of Borel probability measures on X. We compare this representation to a canonically constructed representation which encodes a Borel probability measure as a lower semicontinuous function from the open sets to the unit interval. This canonical representa… Show more

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Cited by 28 publications
(7 citation statements)
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“…For the case X = [0, 1], this representation has been introduced in [16]. A more general definition is studied in [12]. The results of [12,17] show that ϑ 1 M< has a number of desirable properties; we believe that it is justified to consider ϑ 1 M< as the "right" representation for Borel probability measures.…”
Section: Representations Of Gaussian Measuresmentioning
confidence: 98%
See 1 more Smart Citation
“…For the case X = [0, 1], this representation has been introduced in [16]. A more general definition is studied in [12]. The results of [12,17] show that ϑ 1 M< has a number of desirable properties; we believe that it is justified to consider ϑ 1 M< as the "right" representation for Borel probability measures.…”
Section: Representations Of Gaussian Measuresmentioning
confidence: 98%
“…A more general definition is studied in [12]. The results of [12,17] show that ϑ 1 M< has a number of desirable properties; we believe that it is justified to consider ϑ 1 M< as the "right" representation for Borel probability measures. In the proof of Theorem 17 we shall need yet another representation of Borel probability measures: It is straightforward to derive a notation ϑ alg of the algebra A( ) generated by .…”
Section: Representations Of Gaussian Measuresmentioning
confidence: 98%
“…Theorem 9 (Schröder [43]) Let X be a complete computably admissible space. The map µ → δ * X µ : P(N N ) → P(X) is computable and computably invertible.…”
Section: Computable Measure Theorymentioning
confidence: 99%
“…But neither such measures nor their relation to the functions of bounded variation have been studied in computable analysis. Computable Borel measures have been studied in [20,13,19,18]. But their relation to the computable measure spaces considered in [23,24,25,26] is not yet known.…”
Section: Introductionmentioning
confidence: 99%
“…There are only few publications on computable measure theory in the framework of TTE [20,13,23,19,24,19,25,26,12,18]. In the following four cases the "dual" space is studied:…”
Section: Introductionmentioning
confidence: 99%