Pesquisa de referências

On a risk model with tree-structured Poisson Markov random field frequency, with application to rainfall events

Registro MARC
Tag12Valor
LDR  00000cab a2200000 4500
001  MAP20260013336
003  MAP
005  20260603180825.0
008  260427e20260420bel|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
24500‎$a‎On a risk model with tree-structured Poisson Markov random field frequency, with application to rainfall events‎$c‎Hélène Cossette ... [et al.]
520  ‎$a‎The article proposes a multivariate risk model for insurance portfolios based on a tree-structured Markov random field with Poisson marginal distributions. The model captures dependence between claim frequencies through binomial thinning mechanisms while remaining computationally scalable in high dimensions. It develops analytical results for aggregate risk, risk allocation and asymptotic behavior. The methodology is illustrated with an application to extreme rainfall events using real-world meteorological data. The approach offers interpretable dependence structures and efficient estimation procedures for actuarial risk management
650 4‎$0‎MAPA20080579258‎$a‎Cálculo actuarial
650 4‎$0‎MAPA20090041721‎$a‎Distribución Poisson-Beta
650 4‎$0‎MAPA20080570651‎$a‎Siniestralidad
650 4‎$0‎MAPA20080583972‎$a‎Cartera de seguros
650 4‎$0‎MAPA20150020307‎$a‎Asignación de capital
7001 ‎$0‎MAPA20150013996‎$a‎Cossette, Hélène
7102 ‎$0‎MAPA20100017661‎$a‎International Actuarial Association
7730 ‎$w‎MAP20077000420‎$g‎20/04/2026 Volumen 56 Número 2 - abril 2026 , 23 p.‎$x‎0515-0361‎$t‎Astin bulletin‎$d‎Belgium : ASTIN and AFIR Sections of the International Actuarial Association