A Markov jump process associated with the matrix-exponential distribution

Abstract

Let $f$ be the density function associated to a matrix-exponential distribution of parameters $(\alpha ,T,s)$. By exponentially tilting $f$, we find a probabilistic interpretation which generalises the one associated to phase-type distributions. More specifically, we show that for any sufficiently large $\lambda \ge 0$, the function $x\mapsto {\left({\int }_0^{\infty }{e}^{-\lambda r}f(r)dr\right)}^{-1}{e}^{-\lambda x}f(x)$ can be described in terms of a Markov jump process whose generator is tied to $T$. Finally, we show how to revert the exponential tilting in order to assign a probabilistic interpretation to $f$ itself.