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20042026
most citedMultivariate extensions of expectiles risk measures

34 citations · 64 across the 23 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.ST2017★ 1 cited

Censored pairwise likelihood-based tests for mixing coefficient of spatial max-mixture models

Abdul-Fattah Abu-Awwad, Véronique Maume-Deschamps, Ribereau Pierre

Max-mixture processes are defined as Z = max(aX, (1 -- a)Y) with X an asymptotic dependent (AD) process, Y an asymptotic independent (AI) process and a [0, 1]. So that, the m…

math.ST2017★ 3 cited

A semi-parametric estimation for max-mixture spatial processes

M. Ahmed, V Maume-Deschamps, P. Ribereau +1

We proposed a semi-parametric estimation procedure in order to estimate the parameters of a max-mixture model and also of a max-stable model (inverse max-stable model) as an altern…

math.PR2017★ 4 cited

Risk assessment using suprema data

Christophette Blanchet-Scalliet, Diana Dorobantu, Laura Gay +2

This paper proposes a stochastic approach to model temperature dynamic and study related risk measures. The dynamic of temperatures can be modelled by a mean-reverting process such…

q-fin.RM2017★ 1 cited

Asymptotic multivariate expectiles

Véronique Maume-Deschamps, Didier Rullière, Khalil Said

In [16], a new family of vector-valued risk measures called multivariate expectiles is introduced. In this paper, we focus on the asymptotic behavior of these measures in a multiva…

math.ST2017★ 1 cited

Estimation of quantile oriented sensitivity indices

Véronique Maume-Deschamps, Ibrahima Niang

The paper concerns quantile oriented sensitivity analysis. We rewrite the corresponding indices using the Conditional Tail Expectation risk measure. Then, we use this new expressio…