We study the differentiability properties of concave functionals defined as integrals of the quantile. These functionals generalize the rank dependent expected utility and are called rank-linear utilities in decision theory. Their superdifferential is described as well as the set of random variables where they are Gâteaux-differentiable. Our results generalize those obtained for the rank dependent expected utility in Ref. [Carlier, G., Dana, R.-A., 2003. Core of a convex distortion of a probability. Journal of Economic Theory 113, 199–222.].Optimization and control;
International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...
Log-concave measures arise naturally in the context of probabilistic optimization, as pointed out by...
International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...
We study the differentiability properties of concave functionals defined as integrals of the quantil...
This paper analyzes concave and convex utility and probability distortion functions for decision und...
his paper characterizes the core of a differentiable convex dis-tortion of a probability measure on ...
We provide a list of functional equations that characterize quantile functions for collections of bo...
We provide a list of functional equations that characterize quantile functions for collections of bo...
Quasi-convexity in probabilistic mixtures is a common and useful property in decision analysis. We s...
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Une version antérieure working paper de cet article est attachée. Elle s'intitule "Core of convex di...
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International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...
This paper considers a decision maker whose preferences are locally upper- or/and lower-semicontinuo...
International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...
Log-concave measures arise naturally in the context of probabilistic optimization, as pointed out by...
International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...
We study the differentiability properties of concave functionals defined as integrals of the quantil...
This paper analyzes concave and convex utility and probability distortion functions for decision und...
his paper characterizes the core of a differentiable convex dis-tortion of a probability measure on ...
We provide a list of functional equations that characterize quantile functions for collections of bo...
We provide a list of functional equations that characterize quantile functions for collections of bo...
Quasi-convexity in probabilistic mixtures is a common and useful property in decision analysis. We s...
We consider preferences over all random variables on a given nonatomic probability space. We show th...
Une version antérieure working paper de cet article est attachée. Elle s'intitule "Core of convex di...
We discuss a property of quasi-concavity for inequality measures. Defining income distributions as r...
We discuss when law-invariant convex functionals “collapse to the mean”. More precisely, we show tha...
International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...
This paper considers a decision maker whose preferences are locally upper- or/and lower-semicontinuo...
International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...
Log-concave measures arise naturally in the context of probabilistic optimization, as pointed out by...
International audienceThis paper studies monotone risk aversion, the aversion to monotone, meanprese...