Extremes of aggregated Dirichlet risks
From MaRDI portal
Publication:476250
DOI10.1016/j.jmva.2014.09.018zbMath1316.60079arXiv1404.3304OpenAlexW2091828807MaRDI QIDQ476250
Publication date: 28 November 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1404.3304
Dirichlet distributiontail asymptoticsrisk aggregationGumbel max-domain of attractionWeibull max-domain of attraction
Central limit and other weak theorems (60F05) Extreme value theory; extremal stochastic processes (60G70)
Related Items (6)
Parisian ruin over a finite-time horizon ⋮ Asymptotic expansions for bivariate normal extremes ⋮ Extremes of randomly scaled Gumbel risks ⋮ On probability of high extremes of Gaussian fields with a smooth random trend ⋮ Asymptotic expansion of Gaussian chaos via probabilistic approach ⋮ Extremal attractors of Liouville copulas
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the ball number function
- On extremal behavior of Gaussian chaos
- Asymptotics of random contractions
- Scale mixtures of Kotz-Dirichlet distributions
- Multivariate Archimedean copulas, \(d\)-monotone functions and \(\ell _{1}\)-norm symmetric distributions
- Exact tail asymptotics in bivariate scale mixture models
- From Archimedean to Liouville copulas
- Tail asymptotics under beta random scaling
- Inverse problems for regular variation of linear filters, a cancellation property for \(\sigma\)-finite measures and identification of stable laws
- Tails of multivariate Archimedean copulas
- A ratio limit theorem for the tails of weighted sums
- Extremes of moving averages of random variables from the domain of attraction of the double exponential distribution
- On the theory of elliptically contoured distributions
- Exact tail asymptotics of aggregated parametrised risk
- Asymptotics of the norm of elliptical random vectors
- An Introduction to Heavy-Tailed and Subexponential Distributions
- On Sums of Conditionally Independent Subexponential Random Variables
- Finite- and infinite-time ruin probabilities in the presence of stochastic returns on investments
- Convolution equivalence and infinite divisibility
- The Laplace method for probability measures in Banach spaces
- Aggregation of log-linear risks
- General inverse problems for regular variation
This page was built for publication: Extremes of aggregated Dirichlet risks