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Discrete Schur-constant models in inssurance

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Authors : Lefèvre, Claude (Author of the conference)
CIRM (Publisher )

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Abstract : This paper introduces a class of Schur-constant survival models, of dimension n, for arithmetic non-negative random variables. Such a model is defined through a univariate survival function that is shown to be n-monotone. Two general representations are obtained, by conditioning on the sum of the n variables or through a doubly mixed multinomial distribution. Several other properties including correlation measures are derived. Three processes in insurance theory are discussed for which the claim interarrival periods form a Schur-constant model.
This is a joint work with A. Castaner, M.M. Claramunt and S. Loisel.

Keywords: Schur-constant property; survival function; multiple monotonicity; mixed multinomial distribution; insurance risk theory

MSC Codes :
60E05 - Distributions: general theory
91B30 - Risk theory, insurance

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 08/03/16
    Conference Date : 25/02/16
    Subseries : Research talks
    arXiv category : Probability ; Risk Management ; Applications
    Mathematical Area(s) : Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 00:29:54
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2016-02-25_Lefevre.mp4

Information on the Event

Event Title : Thematic month on statistics - Week 4: Extremes, copulas and actuarial science / Mois thématique sur les statistiques - Semaine 4 : Extrêmes, copules et actuariat
Event Organizers : Boutahar, Mohamed ; Pommeret, Denys ; Royer-Carenzi, Manuela
Dates : 22/02/16 - 26/02/16
Event Year : 2016
Event URL : http://conferences.cirm-math.fr/1618.html

Citation Data

DOI : 10.24350/CIRM.V.18934403
Cite this video as: Lefèvre, Claude (2016). Discrete Schur-constant models in inssurance. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.18934403
URI : http://dx.doi.org/10.24350/CIRM.V.18934403

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