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Modeling discrete common-shock risks through matrix distributions

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24500‎$a‎Modeling discrete common-shock risks through matrix distributions‎$c‎Martin Bladt... [et al.]
520  ‎$a‎This paper introduces a new class of bivariate Common-Shock Discrete Phase-Type (CDPH) distributions for modeling dependence in risk processes. The model couples two Markov chains that evolve jointly until a random common-shock time and then independently, yielding a tractable joint distribution. We derive key analytical properties, extend the framework to random-sum aggregate risks, and develop estimation procedures using the EM algorithm. Simulation studies and an application to bivariate insurance claim frequencies demonstrate the model's effectiveness, including its ability to estimate latent common-shock components
650 4‎$0‎MAPA20080621285‎$a‎Distribuciones estadísticas
650 4‎$0‎MAPA20090039629‎$a‎Riesgo actuarial
650 4‎$0‎MAPA20080582951‎$a‎Teoría del riesgo
650 4‎$0‎MAPA20080556495‎$a‎Siniestros
650 4‎$0‎MAPA20080576783‎$a‎Modelo de Markov
650 4‎$0‎MAPA20080557799‎$a‎Dependencia
650 4‎$0‎MAPA20080602437‎$a‎Matemática del seguro
650 4‎$0‎MAPA20080579258‎$a‎Cálculo actuarial
650 4‎$0‎MAPA20080592042‎$a‎Modelos matemáticos
7001 ‎$0‎MAPA20220005265‎$a‎Bladt, Martin
7102 ‎$0‎MAPA20100017661‎$a‎International Actuarial Association
7730 ‎$w‎MAP20077000420‎$g‎19/01/2026 Volume 56 Issue 1 - January 2026 , p. 101 - 126‎$x‎0515-0361‎$t‎Astin bulletin‎$d‎Belgium : ASTIN and AFIR Sections of the International Actuarial Association