activity
20172021
most citedFitting phase--type scale mixtures to heavy--tailed data and distributions

3 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing math.PRShow all

5 papers · 1 filter

math.PR2021

Fluctuation theory for one-sided Lévy processes with a matrix-exponential time horizon

Mogens Bladt, Jevgenijs Ivanovs

There is an abundance of useful fluctuation identities for one-sided Lévy processes observed up to an independent exponentially distributed time horizon. We show that all the funda…

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

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.PR20191 cited

Matrix calculations for inhomogeneous Markov reward processes, with applications to life insurance and point processes

Mogens Bladt, Søren Asmussen, Mogens Steffensen

A multi--state life insurance model is naturally described in terms of the intensity matrix of an underlying (time--inhomogeneous) Markov process which describes the dynamics for t…

math.PR2018

Inhomogeneous phase--type distributions and heavy tails

Hansjörg Albrecher, Mogens Bladt

We extend the construction principle of phase-type (PH) distributions to allow for inhomogeneous transition rates and show that this naturally leads to direct probabilistic descrip…