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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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10 papers · 1 filter

math.PR2023

Approximations of semi-Markov processes and insurance policy valuation

Martin Bladt, Andreea Minca, Oscar Peralta

Inspired by a duration-dependent life insurance model, we consider continuous-time semi-Markov jump processes, initially assumed to have a finite state-space. We develop approximat…

math.PR2022

Strongly convergent homogeneous approximations to inhomogeneous Markov jump processes and applications

Martin Bladt, Oscar Peralta

The study of time-inhomogeneous Markov jump processes is a traditional topic within probability theory that has recently attracted substantial attention in various applications. Ho…

math.PR2021

Fractional Inhomogeneous Multi-state Models in Life Insurance

Martin Bladt

In this paper, we demonstrate through the use of matrix calculus a transparent analysis of fractional inhomogeneous Markov models for life insurance where transition matrices commu…

math.PR2021★ 1 cited

A tractable class of multivariate phase-type distributions for loss modeling

Martin Bladt

Phase-type (PH) distributions are a popular tool for the analysis of univariate risks in numerous actuarial applications. Their multivariate counterparts (MPH), however, hav…

math.PR2021★ 8 cited

Tail Measures and Regular Variation

Martin Bladt, Enkelejd Hashorva, Georgiy Shevchenko

A general framework for the study of regular variation (RV) is that of Polish star-shaped metric spaces, while recent developments in [1] have discussed RV with respect to some pro…

math.PR2021

Continuous scaled phase-type distributions

Hansjoerg Albrecher, Martin Bladt, Mogens Bladt +1

Products between phase-type distributed random variables and any independent, positive and continuous random variable are studied. Their asymptotic properties are established, and…

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…

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…

math.PR2019★ 3 cited

Characterisation of exchangeable sequences through empirical distributions

Martin Bladt, Dimitry Shaiderman

It is a well-known fact that an exchangeable sequence has empirical distributions that form a reverse-martingale. This paper is devoted to proof of the converse statement. As a byp…