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Título:	Partially Schur-constant models
Autor/a:	Castañer, Anna; Claramunt Bielsa, M. Mercè; Lefèvre, Claude; Loisel, Stéphane
Otros autores:	Universitat de Barcelona
Abstract:	In this paper, we introduce a new multivariate dependence model that generalizes the standard Schur-constant model. The difference is that the random vector considered is partially exchangeable, instead of exchangeable, whence the term partially Schur-constant. Its advantage is to allow some heterogeneity of marginal distributions and a more flexible dependence structure, which broadens the scope of potential applications. We first show that the associated joint survival function is a monotonic multivariate function. Next, we derive two distributional representations that provide an intuitive understanding of the underlying dependence. Several other properties are obtained, including correlations within and between subvectors. As an illustration, we explain how such a model could be applied to risk management for insurance networks.
Materia(s):	-Models matemàtics -Risc (Assegurances) -Risc (Economia) -Mathematical models -Risk (Insurance) -Risk
Derechos:	cc-by-nc-nd (c) Elsevier, 2019 info:eu-repo/semantics/embargoedAccess http://creativecommons.org/licenses/by-nc-nd/3.0/es
Tipo de documento:	Artículo Artículo - Versión aceptada
Editor:	Elsevier
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