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International Journal of Approximate Reasoning
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International Journal of Approximate Reasoning
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Uncertainty modelling and conditioning with convex imprecise previsions

Authors: PELESSONI, RENATO; VICIG, PAOLO;

Uncertainty modelling and conditioning with convex imprecise previsions

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

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Italy
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Keywords

Applications of statistics to actuarial sciences and financial mathematics, Risk measure, Generalised Bayes rule, Applied Mathematics, Convex imprecise previsions; Convex natural extension; Risk measures; Convex conditional imprecise previsions; Generalised Bayes rule, Risk measures, Finance etc., Convex natural extension, Theoretical Computer Science, Convex imprecise prevision, Artificial Intelligence, Convex imprecise previsions, Convex conditional imprecise previsions, Convex conditional imprecise prevision, Software

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Average
Top 10%
Top 10%
Green
hybrid