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n-Monotone exact functionals

\(n\)-monotone exact functionals
Authors: de Cooman, Gert; Troffaes, Matthias; Miranda, Enrique;

n-Monotone exact functionals

Abstract

We study n-monotone functionals, which constitute a generalisation of n-monotone set functions. We investigate their relation to the concepts of exactness and natural extension, which generalise the notions of coherence and natural extension in the behavioural theory of imprecise probabilities. We improve upon a number of results in the literature, and prove among other things a representation result for exact n-monotone functionals in terms of Choquet integrals.

Keywords

Lower prevision, Risk measure, exact functional, Axioms; other general questions in probability, Integration theory via linear functionals (Radon measures, Daniell integrals, etc.), representing set functions and measures, lower prevision, FOS: Mathematics, Comonotone additivity, Exact functional, set function, Applied Mathematics, Probability (math.PR), n-Monotonicity, Set functions and measures on spaces with additional structure, Functional Analysis (math.FA), Mathematics - Functional Analysis, Natural extension, monotone, Choquet integral, Coherence, coherent, Analysis, Mathematics - Probability

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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!
33
Top 10%
Top 10%
Top 10%
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