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20192026
most citedTail Measures and Regular Variation

8 citations · 14 across the 28 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

stat.ME2020

Mortality modeling and regression with matrix distributions

Hansjoerg Albrecher, Martin Bladt, Mogens Bladt +1

In this paper we investigate the flexibility of matrix distributions for the modeling of mortality. Starting from a simple Gompertz law, we show how the introduction of matrix-valu…

math.PR2020

Efficient simulation of ruin probabilities when claims are mixtures of heavy and light tails

Hansjörg Albrecher, Martin Bladt, Eleni Vatamidou

We consider the classical Cramér-Lundberg risk model with claim sizes that are mixtures of phase-type and subexponential variables. Exploiting a specific geometric compound represe…

stat.ME2020

Time series copula models using d-vines and v-transforms

Martin Bladt, Alexander J. McNeil

An approach to modelling volatile financial return series using stationary d-vine copula processes combined with Lebesgue-measure-preserving transformations known as v-transforms i…

math.PR2020

Multivariate fractional phase--type distributions

Hansjoerg Albrecher, Martin Bladt, Mogens Bladt

We extend the Kulkarni class of multivariate phase--type distributions in a natural time--fractional way to construct a new class of multivariate distributions with heavy-tailed Mi…

math.PR2020★ 1 cited

Multivariate Matrix Mittag--Leffler distributions

Hansjoerg Albrecher, Martin Bladt, Mogens Bladt

We extend the construction principle of multivariate phase-type distributions to establish an analytically tractable class of heavy-tailed multivariate random variables whose margi…